🌱 I’m currently learning :
- Machine Learning
- Deep Learning
- Nextjs
- Flask
- Streamlit
⚡ Fun fact : I still need a nightlight.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuse🌱 I’m currently learning :
⚡ Fun fact : I still need a nightlight.
This application predicts the likelihood of obesity and diabetes in a person based on various inputs. It utilizes machine learning models, pipelines, and column transformers to efficiently handle d…
Python
This app is designed to predict the consultation fees of a doctor based on various inputs using a Random Forest Regressor model.
Python
This project utilizes transfer learning with TensorFlow's ResNet50 model to build an apparel recommendation system. The system scans images and displays the five closest items from the dataset on a…
Jupyter Notebook
This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.
Jupyter Notebook
My first, fully responsive and original Lottery decentralised application (dapp) deployed on sepolia testnet of ethereum blockchain.
JavaScript
My first, fully responsive web3.0 application which can be used to transfer cryptocurrencies (example ETH) from one address to another.
JavaScript