KisanSahayak is an AI-powered, end-to-end smart agriculture solution that provides farmers with data-driven insights via web and mobile apps. Using advanced machine learning, it offers rainfall analysis, crop recommendations, and disease prediction to help optimize yields and improve crop health. 🌾

PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.

An automated plant disease detection, Progressive Web App that will help the farmers to detect the disease in their crops and will also give insights on its treatment .

A website that uses deep learning and webcam data to detect bad desk habits || Won Most Scalable in Hack the Lib 2020

📕 Deep-learning trained Pokédex.

SmartPosture: Personalized Study Posture Care

Web app to recognize 3,755 Chinese words

🖊️ Recognize handwritten digits easily with this efficient machine learning tool, trained in PyTorch and accessible through your browser.

MERN Stack Web Application "EpiDetect" which uses a fine-tuned ResNet50 model for skin disease detection.

VKontakte app for ambient sound recommendation using given wall post.

GreenGuard is a multilingual AI-powered chatbot for crop disease detection, integrating AGDFNet Model. It enables farmers to upload plant images and receive real-time, text-based treatment recommendations. Using Adaptive Lesion Modules and Feature Aggregation, it enhances disease detection, helping mitigate crop losses efficiently.

Presentation on Normalizer-Free (Res)Nets conducted at Wrocław University of Science and Technology on 10 March. 2021.

KisanSahayak is a smart agriculture web application aimed at providing Indian farmers with data-driven insights using advanced machine learning, rainfall analysis, crop recommendations, and disease prediction.

Emotion Recognition Project Adapted in HTML/Javascript/CSS with Tensorflowjs

Fashion Recommendation System using FastAPI backend and Vite-React frontend

Interface for deployed CNN Image Classifier

A Simple CNN Demo in JavaScript

Face recognition app for live image recognition.

PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.