I developed an AI-powered environmental analysis application during my AI/ML internship, using Python, YOLO, TensorFlow/Keras, and OpenCV for vegetation segmentation and soil-type detection.
I built and deployed the full-stack application with JavaScript, HTML, CSS, and Flask, integrating deep learning models with real-time image analysis.
For my College Enterprise Resource Planning (ERP) System project, I built a role-based platform with portals for administrators, HODs, faculty, and students. It includes academic management features, JWT authentication, an XGBoost academic risk prediction system, and RAG-based AI guidance.
I also built a car purchase amount prediction application that achieved an R² of 0.993, and Learning Buddy, an AI study companion using Mistral-7B and LangChain. I’m a B.Tech student in Artificial Intelligence and Machine Learning, and I won the CyberSecurity category at the International Hackathon (DataVortexSkyIntellect), KL University.
