AI-driven plant disease detection and treatment recommendation system powered by Groq AI acceleration, now integrated with Flipkart for purchasing plant treatments.
Problem Statement 1 – Weave AI Magic with Groq
Green Guard leverages Groq’s ultra-fast AI inference and Anaconda-based environment management to deliver real-time plant disease detection and Flipkart-integrated treatment solutions.
Green Guard utilizes AI-powered image recognition to diagnose plant diseases, recommend treatments, and seamlessly connect users to Flipkart’s marketplace for purchases. With Groq acceleration, the system ensures fast & accurate results for farmers and plant owners.
- Mansi
- Integrated Groq’s inference acceleration for instant AI-powered diagnoses.
- Optimized disease prediction models for real-time responses.
- Leveraged Anaconda for package management & virtual environments.
- Enhanced recommendation accuracy for treatment options via Flipkart.
- Frontend: Streamlit
- Backend: Python
- Database: Local storage (future cloud integration)
- AI Models: TensorFlow, Keras
- Environment Management: Anaconda
- Hosting: Local execution, future cloud deployment
- Flipkart API: One-click plant & treatment purchase integration
- ✅ Groq: Ultra-fast AI inference for real-time plant health predictions
- ✅ AI-Powered Disease Detection with Groq Acceleration
- ✅ Instant Image-Based Diagnosis
- ✅ One-Click Flipkart Purchase for Healthy Plants & Treatments
- ✅ Climate-Based Risk Alerts (Upcoming)
- ✅ Batch Processing for Faster Plant Health Analysis (Upcoming)
- Demo Video Link: Watch on YouTube
- ✅ All members followed social channels & submitted form
- ✅ Completed Bonus Task 1 - Sharing of Badges (2 points)
- ✅ Completed Bonus Task 2 - Sprint.dev registration (3 points)
git clone https://github.com/mansi066/GreenGuard.git
cd GreenGuard-
Ensure Anaconda is installed
Download Anaconda here. -
Create a virtual environment
conda create --name greenguard_env python=3.8 conda activate greenguard_env
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Install dependencies using Anaconda
pip install tensorflow keras streamlit numpy groq pillow
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Run the application
streamlit run main.py
- Climate-Based Disease Risk Alerts
- Confidence Score Display for Predictions
- Tracking Nearby Crop Diseases
- Potential IoT Device Integration
- Utilized public plant disease datasets
- Leveraged TensorFlow & Keras for AI model training
- Integrated Flipkart API for treatment recommendations
- Managed dependencies using Anaconda
- Acknowledging contributions from the open-source community
Green Guard integrates Groq’s high-speed AI inference and Anaconda for efficient package management to revolutionize plant health monitoring. From optimizing disease detection to Flipkart-integrated treatment recommendations, we’re making plant care smarter & faster! 🚀🌱
Looking forward to expanding Green Guard’s capabilities for greater agricultural impact!