Real-time web dashboard for visualizing beehive metrics including temperature, humidity, weight, bee activity, and alerts. Built with React and Firebase, designed to work with ESP32-based Smart Beehive IoT monitoring hardware.

🌿 AI-powered mobile app for tomato disease detection using image analysis. Empowering farmers with early diagnosis, treatment recommendations, and better yields. 🚀🌱

Neochloris: A plant disease detection app using deep learning, real-time camera analysis, and a rich disease library. Final project (Final Boss) from TIA Academy.

A Flutter-based mobile app for Agribot Hydro NFT, designed for hydroponic farm management, automation controls, and real-time data monitoring.

AGRI-BOT Hydro NFT is a web-based platform exploring Hydroponic NFT systems, featuring research, interviews, and documentation. Open-source for educational purposes.

AI-Powered Plant Doctor 🌿🤖 – A deep learning model that diagnoses plant diseases from images and provides remedies. Uses computer vision & AI to detect common plant issues and recommend treatments, helping home gardeners and farmers maintain healthy plants.

Full-stack AI platform for precision agriculture using Rhizobium-based biofertilizers. Features ML-powered dosage prediction, real-time soil analysis with ESP32 sensors, and Gemini-powered agricultural chatbot.