Built a Retrieval-Augmented Generation (RAG) chatbot tailored for data analyst workflows, enabling users to query domain-specific datasets and receive contextual, insightful responses.

Upload internal documents (PDF, DOCX, CSV, HTML), ask questions in natural language, and get accurate, source-cited answers, enhancing knowledge retrieval and decision-making within the enterprise.

Developed an AI-powered chatbot that analyzes stock data, provides real-time insights, and answers user queries about market trends, helping users make informed investment decisions.

Real-time driver drowsiness detection using Python, OpenCV, and MediaPipe (or dlib). Detects: Drowsiness — sustained low Eye Aspect Ratio (EAR) Yawning — high Mouth Aspect Ratio (MAR) Head nodding — nose-to-chin tilt angle