Computer Science student passionate about AI, Machine Learning, Data Analytics, and software development. I enjoy building practical solutions through hands-on projects while continuously improving my technical and problem-solving skills.
Computer Science and Engineering student
Interested in Artificial Intelligence and Machine Learning
Interested in Data Analytics and software development
Experience working on team-based academic projects
Passionate about building practical technology solutions
Continuously learning new technologies and improving problem-solving skills
2023-2027
Jain College Of Engineering ,Belgavi
2021-2023
Smt Vidya P.Hanchinmani
WasteWatcher is an AI-powered mobile application that classifies waste materials from images and provides disposal guidance. It uses CNN, TensorFlow Lite, OpenCV, React Native, and SQLite for on-device classification and offline functionality. Features include scan history, educational guidance, and gamification through points and badges to encourage responsible waste management practices.
CropGuard is an intelligent post-harvest crop loss prevention system combining IoT and Machine Learning. It monitors temperature, humidity, CO₂, ethylene, and ammonia to predict spoilage risk. The system uses ESP32, Python, TensorFlow, Scikit-learn, MQTT, Firebase, and React.js, with automated SMS/WhatsApp alerts and dashboard-based monitoring for farmers and storage stakeholders effectively.