diff --git a/application/team trinova/.cproject b/application/team trinova/.cproject
new file mode 100644
index 0000000..2764219
--- /dev/null
+++ b/application/team trinova/.cproject	
@@ -0,0 +1,461 @@
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projectCommon.ideId="simplicity-ide" projectCommon.importModeId="LINK_LIBRARIES" projectCommon.partId="mcu.arm.efr32.mg26.efr32mg26b510f3200im68" projectCommon.savedStockVariables="{&quot;copiedSdkLocation&quot;:&quot;simplicity_sdk_2025.6.2&quot;,&quot;partOpn&quot;:&quot;efr32mg26b510f3200im68&quot;}" projectCommon.sdkId="com.silabs.sdk.stack.sisdk:2025.6.2._-662044072" projectCommon.toolchainId="com.silabs.ss.tool.ide.arm.toolchain.gnu.cdt:12.2.1.20221205"/>
+	<storageModule moduleId="cdtBuildSystem" version="4.0.0">
+		<project id="ml_voice_control_light.com.silabs.ss.framework.ide.project.core.cdt.cdtMbsProjectType.733490977" name="SLS CDT Project" projectType="com.silabs.ss.framework.ide.project.core.cdt.cdtMbsProjectType"/>
+	</storageModule>
+	<storageModule moduleId="org.eclipse.cdt.core.LanguageSettingsProviders"/>
+	<storageModule moduleId="scannerConfiguration">
+		<autodiscovery enabled="true" problemReportingEnabled="true" selectedProfileId=""/>
+		<scannerConfigBuildInfo instanceId="com.silabs.ss.framework.project.toolchain.core.default#com.silabs.ss.tool.ide.arm.toolchain.gnu.cdt:12.2.1.20221205;com.silabs.ss.framework.project.toolchain.core.default#com.silabs.ss.tool.ide.arm.toolchain.gnu.cdt:12.2.1.20221205.;com.silabs.ide.si32.gcc.cdt.managedbuild.tool.gnu.c.compiler.base.88094236;com.silabs.ide.si32.gcc.cdt.managedbuild.tool.gnu.c.compiler.input.2034492232">
+			<autodiscovery enabled="true" problemReportingEnabled="true" selectedProfileId=""/>
+		</scannerConfigBuildInfo>
+	</storageModule>
+	<storageModule moduleId="org.eclipse.cdt.make.core.buildtargets"/>
+</cproject>
\ No newline at end of file
diff --git a/application/team trinova/.project b/application/team trinova/.project
new file mode 100644
index 0000000..535d296
--- /dev/null
+++ b/application/team trinova/.project	
@@ -0,0 +1,3545 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<projectDescription>
+	<name>ml_voice_control_light</name>
+	<comment></comment>
+	<projects>
+	</projects>
+	<buildSpec>
+		<buildCommand>
+			<name>com.silabs.ss.framework.ide.project.sls.core.slsResourceBuilder</name>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.cdt.managedbuilder.core.genmakebuilder</name>
+			<triggers>clean,full,incremental,</triggers>
+			<arguments>
+			</arguments>
+		</buildCommand>
+		<buildCommand>
+			<name>org.eclipse.cdt.managedbuilder.core.ScannerConfigBuilder</name>
+			<triggers>full,incremental,</triggers>
+			<arguments>
+			</arguments>
+		</buildCommand>
+	</buildSpec>
+	<natures>
+		<nature>org.eclipse.cdt.core.cnature</nature>
+		<nature>com.silabs.ss.framework.ide.project.sls.core.SLSProjectNature</nature>
+		<nature>org.eclipse.cdt.managedbuilder.core.managedBuildNature</nature>
+		<nature>org.eclipse.cdt.managedbuilder.core.ScannerConfigNature</nature>
+		<nature>org.eclipse.cdt.core.ccnature</nature>
+	</natures>
+	<linkedResources>
+		<link>
+			<name>aiml_2.1.2/inc/dsp/sl_ml_fft.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/inc/dsp/sl_ml_fft.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/inc/tflite/sl_tflite_micro_debug_log.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/inc/tflite/sl_tflite_micro_debug_log.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/inc/tflite/sl_tflite_micro_init.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/inc/tflite/sl_tflite_micro_init.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/activity_detection.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/activity_detection.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/activity_detection_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection_util.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/activity_detection_util.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/activity_detection_util.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/bits.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/bits.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/dc_notch_filter.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/dc_notch_filter.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/dc_notch_filter_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter_util.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/dc_notch_filter_util.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/dc_notch_filter_util.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/filterbank.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/filterbank.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/filterbank.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/filterbank.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/filterbank_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/filterbank_util.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/filterbank_util.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/filterbank_util.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/frontend.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/frontend.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/frontend.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/frontend.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/frontend_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/frontend_util.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/frontend_util.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/frontend_util.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_lut.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_lut.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_lut.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_lut.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_scale.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_scale.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_scale.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_scale.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_scale_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_scale_util.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/log_scale_util.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/log_scale_util.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/noise_reduction.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/noise_reduction.c</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/noise_reduction.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/noise_reduction.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/microfrontend/lib/noise_reduction_util.c</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/microfrontend/lib/noise_reduction_util.c</locationURI>
+		</link>
+		<link>
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+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/neg.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pad.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pad.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pooling.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/pooling.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/portable_tensor_utils.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/portable_tensor_utils.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/portable_tensor_utils_impl.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/portable_tensor_utils_impl.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/prelu.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/prelu.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/process_broadcast_shapes.h</name>
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+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/process_broadcast_shapes.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/quantize.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/quantize.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/reduce.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/reduce.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/requantize.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/requantize.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/resize_bilinear.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/resize_bilinear.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/resize_nearest_neighbor.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/resize_nearest_neighbor.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/round.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/round.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/select.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/select.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/slice.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/slice.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/softmax.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/softmax.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/space_to_batch_nd.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/space_to_batch_nd.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/space_to_depth.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/space_to_depth.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/strided_slice.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/strided_slice.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/sub.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/sub.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/tanh.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/tanh.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose_conv.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/transpose_conv.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/softmax.cc</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/softmax.cc</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/svdf.cc</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/svdf.cc</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/unidirectional_sequence_lstm.cc</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/micro/kernels/cmsis_nn/unidirectional_sequence_lstm.cc</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/add.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/add.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/conv.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/conv.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/depthwise_conv.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/depthwise_conv.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/fully_connected.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/fully_connected.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/l2normalization.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/l2normalization.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/logistic.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mean.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mean.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mul.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/mul.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/pooling.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/pooling.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/tanh.h</locationURI>
+		</link>
+		<link>
+			<name>aiml_2.1.2/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h</name>
+			<type>1</type>
+			<locationURI>STUDIO_SDK_LOC/extension/aiml-extension/third_party/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/transpose_conv.h</locationURI>
+		</link>
+	</linkedResources>
+</projectDescription>
diff --git a/application/team trinova/.projectlinkstore b/application/team trinova/.projectlinkstore
new file mode 100644
index 0000000..2120a02
--- /dev/null
+++ b/application/team trinova/.projectlinkstore	
@@ -0,0 +1 @@
+{"data":[{"hit":0,"alias":"app.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/app.c"},{"hit":0,"alias":"main.c","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/main.c"},{"hit":0,"alias":"readme.md","type":"FILE","data":"C:/Users/INDARAM SRI CHARITHA/SimplicityStudio/v5_workspace/.browser/ml_voice_control_light/readme.md"},{"hit":0,"alias":"Post Build Editor","type":"TOOL","data":"postbuildeditor"},{"hit":0,"alias":"Pin Tool","type":"TOOL","data":"pintool"},{"hit":0,"alias":"Memory Editor","type":"TOOL","data":"memoryeditor"},{"hit":0,"alias":"Software Components","type":"NAVIGATION","data":"softwarecomponents"},{"hit":0,"alias":"docs.silabs.com","type":"EXTERNAL_URL","data":"https://docs.silabs.com/"}]}
\ No newline at end of file
diff --git a/application/team trinova/app.c b/application/team trinova/app.c
new file mode 100644
index 0000000..7ee4f02
--- /dev/null
+++ b/application/team trinova/app.c	
@@ -0,0 +1,26 @@
+/***************************************************************************//**
+ * @file
+ * @brief Top level application functions
+ *******************************************************************************
+ * # License
+ * <b>Copyright 2021 Silicon Laboratories Inc. www.silabs.com</b>
+ *******************************************************************************
+ *
+ * The licensor of this software is Silicon Laboratories Inc. Your use of this
+ * software is governed by the terms of Silicon Labs Master Software License
+ * Agreement (MSLA) available at
+ * www.silabs.com/about-us/legal/master-software-license-agreement. This
+ * software is distributed to you in Source Code format and is governed by the
+ * sections of the MSLA applicable to Source Code.
+ *
+ ******************************************************************************/
+#include "app.h"
+#include "voice_control_light.h"
+
+/***************************************************************************//**
+ * Initialize application.
+ ******************************************************************************/
+void app_init(void)
+{
+  voice_control_light_init();
+}
diff --git a/application/team trinova/app.h b/application/team trinova/app.h
new file mode 100644
index 0000000..634d5e9
--- /dev/null
+++ b/application/team trinova/app.h	
@@ -0,0 +1,26 @@
+/***************************************************************************//**
+ * @file app.h
+ * @brief Top level application functions
+ *******************************************************************************
+ * # License
+ * <b>Copyright 2021 Silicon Laboratories Inc. www.silabs.com</b>
+ *******************************************************************************
+ *
+ * The licensor of this software is Silicon Laboratories Inc. Your use of this
+ * software is governed by the terms of Silicon Labs Master Software License
+ * Agreement (MSLA) available at
+ * www.silabs.com/about-us/legal/master-software-license-agreement. This
+ * software is distributed to you in Source Code format and is governed by the
+ * sections of the MSLA applicable to Source Code.
+ *
+ ******************************************************************************/
+
+#ifndef APP_H
+#define APP_H
+
+/***************************************************************************//**
+ * Initialize application.
+ ******************************************************************************/
+void app_init(void);
+
+#endif  // APP_H
diff --git a/application/team trinova/main.c b/application/team trinova/main.c
new file mode 100644
index 0000000..88f4efa
--- /dev/null
+++ b/application/team trinova/main.c	
@@ -0,0 +1,43 @@
+/***************************************************************************//**
+ * @file main.c
+ * @brief main() function.
+ *******************************************************************************
+ * # License
+ * <b>Copyright 2025 Silicon Laboratories Inc. www.silabs.com</b>
+ *******************************************************************************
+ *
+ * SPDX-License-Identifier: Zlib
+ *
+ * The licensor of this software is Silicon Laboratories Inc.
+ *
+ * This software is provided 'as-is', without any express or implied
+ * warranty. In no event will the authors be held liable for any damages
+ * arising from the use of this software.
+ *
+ * Permission is granted to anyone to use this software for any purpose,
+ * including commercial applications, and to alter it and redistribute it
+ * freely, subject to the following restrictions:
+ *
+ * 1. The origin of this software must not be misrepresented; you must not
+ *    claim that you wrote the original software. If you use this software
+ *    in a product, an acknowledgment in the product documentation would be
+ *    appreciated but is not required.
+ * 2. Altered source versions must be plainly marked as such, and must not be
+ *    misrepresented as being the original software.
+ * 3. This notice may not be removed or altered from any source distribution.
+ *
+ ******************************************************************************/
+#include "sl_main_init.h"
+#include "sl_main_kernel.h"
+
+int main(void)
+{
+  // Initialize Silicon Labs device, system, service(s) and protocol stack(s).
+  sl_main_second_stage_init();
+
+  app_init();
+
+  while (sl_main_start_task_should_continue()) {
+    app_process_action();
+  }
+}
diff --git a/application/team trinova/ml_voice_control_light.pintool b/application/team trinova/ml_voice_control_light.pintool
new file mode 100644
index 0000000..728003a
--- /dev/null
+++ b/application/team trinova/ml_voice_control_light.pintool	
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="ASCII"?>
+<device:XMLDevice xmi:version="2.0" xmlns:xmi="http://www.omg.org/XMI" xmlns:device="http://www.silabs.com/ss/hwconfig/document/device.ecore" name="pin_tool.EFR32MG26B510F3200IM68" partId="mcu.arm.efr32.mg26.efr32mg26b510f3200im68" contextId="com.silabs.sdk.stack.sisdk:2025.6.2._-662044072">
+  <mode name="DefaultMode">
+    <property object="DefaultMode" propertyId="mode.diagramLocation" value="100, 100"/>
+  </mode>
+  <modeTransition>
+    <property object="RESET &#x2192; DefaultMode" propertyId="modeTransition.source" value="RESET"/>
+    <property object="RESET &#x2192; DefaultMode" propertyId="modeTransition.target" value="DefaultMode"/>
+  </modeTransition>
+</device:XMLDevice>
diff --git a/application/team trinova/ml_voice_control_light.slcp b/application/team trinova/ml_voice_control_light.slcp
new file mode 100644
index 0000000..92edae3
--- /dev/null
+++ b/application/team trinova/ml_voice_control_light.slcp	
@@ -0,0 +1,84 @@
+# Silicon Labs Project Configuration Tools: slcp, v0, Component selection file.
+project_name: ml_voice_control_light
+label: ml_voice_control_light
+description: |
+  This application uses TensorFlow Lite for Microcontrollers to detect the spoken words "on" and "off" from audio data recorded on the microphone in a Micrium OS kernel task. The detected keywords are used to control an LED on the board.
+category: AI/ML Application
+filter:
+- name: Capability
+  value: [Machine Learning]
+- name: Device Type
+  value: [SoC]
+- name: MCU
+  value: [32-bit MCU]
+- name: Project Difficulty
+  value: [Advanced]
+package: aiml
+quality: production
+readme:
+- {path: readme.md}
+- {path: readme.md}
+source:
+- {path: app.c}
+- {path: voice_control_light.cc}
+- {path: recognize_commands.cc}
+tag: ['hardware:device:flash:130', 'hardware:device:ram:128', 'hardware:component:microphone',
+  'hardware:component:led:1+']
+include:
+- path: .
+  file_list:
+  - {path: app.h}
+  - {path: voice_control_light.h}
+  - {path: recognize_commands.h}
+sdk: {id: simplicity_sdk, version: 2025.6.2}
+toolchain_settings:
+- {value: -Wno-unused-parameter, option: gcc_compiler_option}
+- {value: -Wno-missing-field-initializers, option: gcc_compiler_option}
+component:
+- {from: aiml, id: ml_audio_feature_generation}
+- {from: aiml, id: tensorflow_debug_log_iostream}
+- {from: aiml, id: tensorflow_lite_micro}
+- {from: aiml, id: tensorflow_lite_micro_accelerated_kernels}
+- {from: aiml, id: tensorflow_lite_micro_optimized_kernels}
+- {id: EFR32MG26B510F3200IM68}
+- {id: brd2608a}
+- {id: clock_manager}
+- {id: device_init}
+- {id: iostream_recommended_stream}
+- {id: iostream_retarget_stdio}
+- {id: memory_manager}
+- {id: micriumos_kernel}
+- {id: power_manager}
+- {id: printf}
+- instance: [led0]
+  id: simple_led
+- {id: sl_main}
+- {id: sleeptimer}
+- {id: status}
+define:
+- {name: DEBUG_EFM}
+- {name: TF_LITE_STATIC_MEMORY}
+config_file:
+- {path: config/recognize_commands_config.h}
+- {path: config/tflite/keyword_spotting_on_off_v2.tflite, directory: tflite}
+configuration:
+- {name: SL_BOARD_ENABLE_VCOM, value: '1'}
+- {name: SL_BOARD_ENABLE_SENSOR_MICROPHONE, value: '1'}
+- condition: [iostream_usart]
+  name: SL_IOSTREAM_USART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF
+  value: '1'
+- condition: [iostream_uart]
+  name: SL_IOSTREAM_UART_VCOM_CONVERT_BY_DEFAULT_LF_TO_CRLF
+  value: '1'
+- {name: SL_ML_AUDIO_FEATURE_GENERATION_AUDIO_BUFFER_SIZE, value: '4096'}
+- {name: SL_TFLITE_MICRO_ARENA_SIZE, value: '100000'}
+- {name: SL_HEAP_SIZE, value: '8192'}
+- condition: [tensorflow_lite_micro_accelerated_kernels]
+  name: SL_MVP_OPTIMIZE_SPEED
+  value: '1'
+ui_hints:
+  highlight:
+  - {path: readme.md, focus: true}
+sdk_extension:
+- {id: aiml, version: 2.1.2}
+
diff --git a/application/team trinova/ml_voice_control_light.slps b/application/team trinova/ml_voice_control_light.slps
new file mode 100644
index 0000000..523135b
--- /dev/null
+++ b/application/team trinova/ml_voice_control_light.slps	
@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="ASCII"?>
+<model:MDescriptors xmlns:model="http://www.silabs.com/ss/Studio.ecore">
+  <descriptors name="ml_voice_control_light">
+    <properties key="projectCommon.sdkId" value="com.silabs.sdk.stack.sisdk:2025.6.2._-662044072"/>
+    <properties key="universalConfig.relativeWorkspacePath" value="..\ml_voice_control_light.slcw"/>
+    <properties key="universalConfig.generationDirectory" value=""/>
+    <properties key="universalConfig.toolchainCompatibility" value="gcc"/>
+    <properties key="projectCommon.overwriteCopiedSources" value="false"/>
+    <properties key="projectCommon.boardIds" value="brd2608a:0.0.0.A02"/>
+    <properties key="projectCommon.kitId" value=""/>
+    <properties key="projectCommon.partId" value="mcu.arm.efr32.mg26.efr32mg26b510f3200im68"/>
+    <properties key="projectCommon.toolchainId" value="com.silabs.ss.tool.ide.arm.toolchain.gnu.cdt:12.2.1.20221205"/>
+    <properties key="universalConfig.projectTypeIds" value="com.silabs.ss.framework.ide.project.core.cdtMbsProjectType"/>
+    <properties key="projectCommon.importModeId" value="LINK_LIBRARIES"/>
+    <properties key="universalConfig.compSelProjInstanceId" value="1763969429120"/>
+  </descriptors>
+</model:MDescriptors>
\ No newline at end of file
diff --git a/application/team trinova/readme.md b/application/team trinova/readme.md
new file mode 100644
index 0000000..b908bb5
--- /dev/null
+++ b/application/team trinova/readme.md	
@@ -0,0 +1,34 @@
+# Voice Control Light
+This application uses TensorFlow Lite for Microcontrollers to detect the spoken
+words "on" and "off" from audio data recorded on the microphone. The detected
+keywords are used to control an LED on the board.
+
+Audio is sampled continuously from the microphone at a rate of 8kHz. The
+frequency components are then extracted by calculating the FFT on short segments
+of audio as they become available. The result is an array of filterbanks,
+representing the frequency components of the past second of audio. The processed
+audio data is passed into a neural network at an interval of 200 ms. If the
+model detects that either of the keywords "on" or "off" were spoken, LED0 will
+toggle accordingly and the keyword detection result is printed on VCOM.
+
+The application is based on TensorFlow's example application, **[micro speech](https://github.com/tensorflow/tensorflow/tree/v2.3.1/tensorflow/lite/micro/examples/micro_speech)**.
+
+## Model
+The application uses one of two different available models
+(```keyword_spotting_on_off.tflite``` or ```keyword_spotting_on_off_v2.tflite```)
+as the default model, depending on whether the application is generated for a
+development board featuring an MVP hardware accelerator or not. When an MVP
+hardware accelerator is featured on the board, inference will run at a faster
+speed such that a larger model can be chosen, yielding more accurate keyword
+detections.
+
+The neural network model has been trained to identify the two keywords "on" and
+"off" from preprocessed audio data. When neither words are recognized, the model
+will classify the input as either "unknown" or "background". The model takes an
+array of filterbanks as input and outputs a vector with each value corresponding
+to the probability that the input belongs to each of the
+categories.
+
+Details about the model architectures and scripts for generating the models can
+be found in the [Silicon Labs machine learning applications](https://github.com/SiliconLabs/machine_learning_applications/tree/main/) repository, under
+```application/voice/keyword_spotting/model```.
diff --git a/application/team trinova/recognize_commands.cc b/application/team trinova/recognize_commands.cc
new file mode 100644
index 0000000..c57a694
--- /dev/null
+++ b/application/team trinova/recognize_commands.cc	
@@ -0,0 +1,95 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+   This file has been modified by Silicon Labs.
+   ==============================================================================*/
+
+#include "recognize_commands.h"
+
+#include <limits>
+
+// Labels used by the Voice Control tflite model
+// 0 - on
+// 1 - off
+// 2 - unknown
+// 3 - background
+const char* kCategoryLabels[kMaxCategoryCount] = {
+  "on",
+  "off",
+  "unknown",
+  "background",
+};
+
+RecognizeCommands::RecognizeCommands(tflite::ErrorReporter* error_reporter,
+                                     uint8_t detection_threshold,
+                                     int32_t suppression_ms)
+  : error_reporter_(error_reporter),
+  detection_threshold_(detection_threshold),
+  suppression_ms_(suppression_ms),
+  previous_results_(error_reporter)
+{
+  previous_top_label_index_ = 3; // "background"
+  previous_top_label_time_ = std::numeric_limits < int32_t > ::min();
+}
+
+TfLiteStatus RecognizeCommands::ProcessLatestResults(
+  const TfLiteTensor* latest_results, const int32_t current_time_ms,
+  uint8_t* found_command_index, uint8_t* score, bool* is_new_command)
+{
+
+uint8_t category_count = latest_results->dims->data[1];
+int8_t current_top_index = 0;
+int32_t current_top_score = 0;
+uint8_t converted_scores[kMaxCategoryCount];
+
+// Convert the model output to uint8
+if (latest_results->type == kTfLiteInt8) {
+    for(int i = 0; i < category_count; ++i) {
+      converted_scores[i] = (uint8_t)(latest_results->data.int8[i] + 128);
+    }
+  } else {
+      TF_LITE_REPORT_ERROR(error_reporter_, "Unsupported output tensor data type, must be int8 or float32");
+      return kTfLiteError;
+  }
+
+  for (int i = 0; i < category_count; i++) {
+    if (converted_scores[i] > current_top_score) {
+      current_top_score = converted_scores[i];
+      current_top_index = i;
+    }
+  }
+
+  // If we've recently had another label trigger, assume one that occurs too
+  // soon afterwards is a bad result.
+  int64_t time_since_last_top;
+  if ((previous_top_label_index_ == 3 || previous_top_label_index_ == 2)
+      || (previous_top_label_time_ == std::numeric_limits < int32_t > ::min())) {
+    time_since_last_top = std::numeric_limits < int32_t > ::max();
+    // Reset timer if detecting background / unknown
+  } else {
+    time_since_last_top = current_time_ms - previous_top_label_time_;
+  }
+
+  if ((current_top_score > detection_threshold_) && (time_since_last_top > suppression_ms_)) {
+    previous_top_label_index_ = current_top_index;
+    previous_top_label_time_ = current_time_ms;
+    *is_new_command = true;
+  } else {
+    *is_new_command = false;
+  }
+
+  *found_command_index = current_top_index;
+  *score = current_top_score;
+  return kTfLiteOk;
+}
diff --git a/application/team trinova/recognize_commands.h b/application/team trinova/recognize_commands.h
new file mode 100644
index 0000000..0771f23
--- /dev/null
+++ b/application/team trinova/recognize_commands.h	
@@ -0,0 +1,174 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+   This file has been modified by Silicon Labs.
+   ==============================================================================*/
+
+#ifndef MODEL_RECOGNIZE_COMMANDS_H_
+#define MODEL_RECOGNIZE_COMMANDS_H_
+
+#include <cstdint>
+
+#include "tensorflow/lite/c/common.h"
+#include "tensorflow/lite/micro/tflite_bridge/micro_error_reporter.h"
+
+constexpr int kMaxCategoryCount = 4;
+extern const char* kCategoryLabels[kMaxCategoryCount];
+
+// Partial implementation of std::dequeue, just providing the functionality
+// that's needed to keep a record of previous neural network results over a
+// short time period, so they can be averaged together to produce a more
+// accurate overall prediction. This doesn't use any dynamic memory allocation
+// so it's a better fit for microcontroller applications, but this does mean
+// there are hard limits on the number of results it can store.
+class PreviousResultsQueue {
+public:
+  PreviousResultsQueue(tflite::ErrorReporter * error_reporter)
+    : error_reporter_(error_reporter), front_index_(0), size_(0) {
+  }
+
+  // Data structure that holds an inference result, and the time when it
+  // was recorded.
+  struct Result {
+    Result() : time_(0), scores() {
+    }
+    Result(int32_t time, int8_t * input_scores) : time_(time) {
+      for (int i = 0; i < kMaxCategoryCount; ++i) {
+        scores[i] = input_scores[i];
+      }
+    }
+    int32_t time_;
+    int8_t scores[kMaxCategoryCount];
+  };
+
+  int size()
+  {
+    return size_;
+  }
+  bool empty()
+  {
+    return size_ == 0;
+  }
+  Result& front()
+  {
+    return results_[front_index_];
+  }
+  Result& back()
+  {
+    int back_index = front_index_ + (size_ - 1);
+    if (back_index >= kMaxResults) {
+      back_index -= kMaxResults;
+    }
+    return results_[back_index];
+  }
+
+  void push_back(const Result& entry)
+  {
+    if (size() >= kMaxResults) {
+      TF_LITE_REPORT_ERROR(
+        error_reporter_,
+        "Couldn't push_back latest result, too many already!");
+      return;
+    }
+    size_ += 1;
+    back() = entry;
+  }
+
+  Result pop_front()
+  {
+    if (size() <= 0) {
+      TF_LITE_REPORT_ERROR(error_reporter_,
+                           "Couldn't pop_front result, none present!");
+      return Result();
+    }
+    Result result = front();
+    front_index_ += 1;
+    if (front_index_ >= kMaxResults) {
+      front_index_ = 0;
+    }
+    size_ -= 1;
+    return result;
+  }
+
+  // Most of the functions are duplicates of dequeue containers, but this
+  // is a helper that makes it easy to iterate through the contents of the
+  // queue.
+  Result& from_front(int offset)
+  {
+    if ((offset < 0) || (offset >= size_)) {
+      TF_LITE_REPORT_ERROR(error_reporter_,
+                           "Attempt to read beyond the end of the queue!");
+      offset = size_ - 1;
+    }
+    int index = front_index_ + offset;
+    if (index >= kMaxResults) {
+      index -= kMaxResults;
+    }
+    return results_[index];
+  }
+
+private:
+  tflite::ErrorReporter* error_reporter_;
+  static constexpr int kMaxResults = 50;
+  Result results_[kMaxResults];
+
+  int front_index_;
+  int size_;
+};
+
+// This class is designed to apply a very primitive decoding model on top of the
+// instantaneous results from running an audio recognition model on a single
+// window of samples. It applies smoothing over time so that noisy individual
+// label scores are averaged, increasing the confidence that apparent matches
+// are real.
+// To use it, you should create a class object with the configuration you
+// want, and then feed results from running a TensorFlow model into the
+// processing method. The timestamp for each subsequent call should be
+// increasing from the previous, since the class is designed to process a stream
+// of data over time.
+class RecognizeCommands {
+public:
+  // labels should be a list of the strings associated with each one-hot score.
+  // The window duration controls the smoothing. Longer durations will give a
+  // higher confidence that the results are correct, but may miss some commands.
+  // The detection threshold has a similar effect, with high values increasing
+  // the precision at the cost of recall. The minimum count controls how many
+  // results need to be in the averaging window before it's seen as a reliable
+  // average. This prevents erroneous results when the averaging window is
+  // initially being populated for example. The suppression argument disables
+  // further recognitions for a set time after one has been triggered, which can
+  // help reduce spurious recognitions.
+  explicit RecognizeCommands(tflite::ErrorReporter* error_reporter,
+                             uint8_t detection_threshold,
+                             int32_t suppression_ms);
+
+  // Call this with the results of running a model on sample data.
+  TfLiteStatus ProcessLatestResults(const TfLiteTensor* latest_results,
+                                    const int32_t current_time_ms,
+                                    uint8_t* found_command_index, uint8_t* score,
+                                    bool* is_new_command);
+
+private:
+  // Configuration
+  tflite::ErrorReporter* error_reporter_;
+  uint8_t detection_threshold_;
+  int32_t suppression_ms_;
+
+  // Working variables
+  PreviousResultsQueue previous_results_;
+  uint8_t previous_top_label_index_;
+  int32_t previous_top_label_time_;
+};
+
+#endif  // MODEL_RECOGNIZE_COMMANDS_H_
diff --git a/application/team trinova/voice_control_light.cc b/application/team trinova/voice_control_light.cc
new file mode 100644
index 0000000..ba6556e
--- /dev/null
+++ b/application/team trinova/voice_control_light.cc	
@@ -0,0 +1,192 @@
+/***************************************************************************//**
+ * @file
+ * @brief Top level application functions
+ *******************************************************************************
+ * # License
+ * <b>Copyright 2021 Silicon Laboratories Inc. www.silabs.com</b>
+ *******************************************************************************
+ *
+ * The licensor of this software is Silicon Laboratories Inc. Your use of this
+ * software is governed by the terms of Silicon Labs Master Software License
+ * Agreement (MSLA) available at
+ * www.silabs.com/about-us/legal/master-software-license-agreement. This
+ * software is distributed to you in Source Code format and is governed by the
+ * sections of the MSLA applicable to Source Code.
+ *
+ ******************************************************************************/
+#include "os.h"
+#include "sl_power_manager.h"
+#include "sl_status.h"
+#include "sl_led.h"
+#include "sl_simple_led_instances.h"
+#include "voice_control_light.h"
+#include "recognize_commands.h"
+#include "recognize_commands_config.h"
+#include "sl_tflite_micro_model.h"
+#include "sl_tflite_micro_init.h"
+#include "sl_ml_audio_feature_generation.h"
+#include "sl_sleeptimer.h"
+
+/*******************************************************************************
+ *******************************   DEFINES   ***********************************
+ ******************************************************************************/
+#ifndef INFERENCE_INTERVAL_MS
+#define INFERENCE_INTERVAL_MS 200
+#endif
+
+#ifndef TASK_STACK_SIZE
+#define TASK_STACK_SIZE       512
+#endif
+
+#ifndef TASK_PRIORITY
+#define TASK_PRIORITY         20
+#endif 
+
+/*******************************************************************************
+ ***************************  LOCAL VARIABLES   ********************************
+ ******************************************************************************/
+
+// Pointer to RecognizeCommands object for handling recognitions.
+static RecognizeCommands *command_recognizer = nullptr;
+
+// Micrium task control block
+static OS_TCB tcb;
+
+// Micrium task stack
+static CPU_STK stack[TASK_STACK_SIZE];
+
+/*******************************************************************************
+ **************************   LOCAL FUNCTIONS    *******************************
+ ******************************************************************************/
+
+// Application task
+static void voice_control_light_task(void *arg);
+
+/***************************************************************************//**
+ * Run model inference 
+ * 
+ * Copies the currently available data from the feature_buffer into the input 
+ * tensor and runs inference, updating the global output_tensor. 
+ ******************************************************************************/
+static sl_status_t run_inference()
+{
+  // Update model input tensor
+  sl_status_t status = sl_ml_audio_feature_generation_fill_tensor(sl_tflite_micro_get_input_tensor());
+  if (status != SL_STATUS_OK){
+    return SL_STATUS_FAIL;
+  }
+  // Run the model on the spectrogram input and make sure it succeeds.
+  TfLiteStatus invoke_status = sl_tflite_micro_get_interpreter()->Invoke();
+  if (invoke_status != kTfLiteOk) {
+    return SL_STATUS_FAIL;
+  }
+
+  return SL_STATUS_OK;
+}
+
+
+/***************************************************************************//**
+ * Processes the output from a model inference
+ ******************************************************************************/
+static sl_status_t process_output(){
+  // Determine whether a command was recognized based on the output of inference
+  uint8_t found_command_index = 0;
+  uint8_t score = 0;
+  bool is_new_command = false;
+  uint32_t current_time_stamp;
+
+  // Get current time stamp needed by CommandRecognizer
+  current_time_stamp = sl_sleeptimer_tick_to_ms(sl_sleeptimer_get_tick_count());
+
+  // Perform post processing and filtering of the model output to get a labeled output with a score value.
+  TfLiteStatus process_status = command_recognizer->ProcessLatestResults(
+      sl_tflite_micro_get_output_tensor(), current_time_stamp, &found_command_index, &score, &is_new_command);
+
+  if (process_status != kTfLiteOk) {
+    return SL_STATUS_FAIL;
+  }
+
+  if (is_new_command) {
+        // Print heard command 
+    if (found_command_index == 0){
+        // command = "on" 
+        sl_led_turn_on(&sl_led_led0);
+        printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index],
+                         score, current_time_stamp);  
+    } else if (found_command_index == 1){
+        // command = "off" 
+        sl_led_turn_off(&sl_led_led0);
+        printf("Heard %s (%d) @%ldms\r\n", kCategoryLabels[found_command_index],
+                         score, current_time_stamp);  
+    }
+  }
+
+  return SL_STATUS_OK;
+}
+
+
+/*******************************************************************************
+ **************************   GLOBAL FUNCTIONS   *******************************
+ ******************************************************************************/
+
+/***************************************************************************//**
+ * Initialize application.
+ ******************************************************************************/
+void voice_control_light_init(void)
+{
+
+  RTOS_ERR err;
+
+  // Create Application Task
+  char task_name[] = "voice control light task";
+  OSTaskCreate(&tcb,
+               task_name,
+               voice_control_light_task,
+               DEF_NULL,
+               TASK_PRIORITY,
+               &stack[0],
+               (TASK_STACK_SIZE / 10u),
+               TASK_STACK_SIZE,
+               0u,
+               0u,
+               DEF_NULL,
+               (OS_OPT_TASK_STK_CLR),
+               &err);
+
+  EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE));
+}
+
+/***************************************************************************//**
+ * Voice control light task
+ ******************************************************************************/
+void voice_control_light_task(void *arg)
+{
+  RTOS_ERR err;
+  (void)&arg;
+
+  printf("Voice Control Light\r\n");
+  printf("  threshold=%d\r\n", DETECTION_THRESHOLD);
+  printf("  suppression time=%d ms\r\n", SUPPRESSION_TIME_MS);
+  printf("Listening for keywords...\r\n");
+  sl_ml_audio_feature_generation_init();
+  
+  // Instantiate CommandRecognizer  
+  static RecognizeCommands static_recognizer(sl_tflite_micro_get_error_reporter(),
+                                             DETECTION_THRESHOLD,
+                                             SUPPRESSION_TIME_MS);
+  command_recognizer = &static_recognizer;
+
+  // Add EM1 requirement to allow microphone sampling 
+  sl_power_manager_add_em_requirement(SL_POWER_MANAGER_EM1);
+
+  while (1) {
+    // Wait INFERENCE_INTERVAL_MS ms 
+    OSTimeDlyHMSM(0, 0, 0, INFERENCE_INTERVAL_MS, OS_OPT_TIME_PERIODIC, &err);
+    EFM_ASSERT((RTOS_ERR_CODE_GET(err) == RTOS_ERR_NONE));
+
+    // Perform a word detection
+    sl_ml_audio_feature_generation_update_features();
+    run_inference();
+    process_output();
+  }
+}
\ No newline at end of file
diff --git a/application/team trinova/voice_control_light.h b/application/team trinova/voice_control_light.h
new file mode 100644
index 0000000..0628925
--- /dev/null
+++ b/application/team trinova/voice_control_light.h	
@@ -0,0 +1,33 @@
+/***************************************************************************//**
+ * @file
+ * @brief Top level application functions
+ *******************************************************************************
+ * # License
+ * <b>Copyright 2021 Silicon Laboratories Inc. www.silabs.com</b>
+ *******************************************************************************
+ *
+ * The licensor of this software is Silicon Laboratories Inc. Your use of this
+ * software is governed by the terms of Silicon Labs Master Software License
+ * Agreement (MSLA) available at
+ * www.silabs.com/about-us/legal/master-software-license-agreement. This
+ * software is distributed to you in Source Code format and is governed by the
+ * sections of the MSLA applicable to Source Code.
+ *
+ ******************************************************************************/
+#ifndef VOICE_CONTROL_LIGHT_H
+#define VOICE_CONTROL_LIGHT_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/***************************************************************************//**
+ * Initialize application.
+ ******************************************************************************/
+void voice_control_light_init(void);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // VOICE_CONTROL_LIGHT_H