Selected Work
Primary preview 
AI / COMPUTER VISION
Farm Leaf Disease Classification
A deep-learning based image classification system for detecting mango and potato leaf diseases, with a live Streamlit application for real-time use.
TensorFlow · Keras · Python · CNN · Computer Vision · Streamlit
Mobile
Overview
A practical computer-vision system that classifies mango and potato leaf diseases and exposes results through a live Streamlit application.
What I Built
- CNN-based disease classification models
- Real-time Streamlit interface for inference
- Evaluation around mango and potato leaf disease detection
My Role
End-to-end model development, evaluation, and interactive interface.
Technology
TensorFlow · Keras · Python · CNN · Computer Vision · Streamlit
Outcome
98.00% mango accuracy, 97.65% potato accuracy, and ~2 second average processing time — available as a live app.
Results
- 98.00%
- Mango disease classification accuracy
- 97.65%
- Potato disease classification accuracy
- 2 sec
- Average processing time