Angad Ahir

I'm pursuing a B.Tech in AI and Data Science at NIT Delhi, where I build machine learning and web applications that solve practical problems.

I developed AgriNova, a Streamlit application that helps farmers through CNN-based plant disease detection, Random Forest crop recommendations, XGBoost fertilizer prediction, and real-time OpenWeatherMap data.

For skin disease classification, I built and augmented a skin cancer dataset, evaluated pretrained architectures, and achieved 95.02% accuracy across seven classes using attention mechanisms and fuzzy techniques.

Alongside my projects, I serve as Database Head for the Training and Placement Cell and an Executive Member of the Social Reform Cell at NIT Delhi. I've solved 500+ DSA problems and participated in hackathons including Adobe India Hackathon, GenAI Exchange Hackathon, Google, and Amazon ML Challenge.