AI/ML Projects & Portfolio
Explore my latest AI/ML projects showcasing expertise in Generative AI, Large Language Models, Deep Learning, and cloud-based AI solutions on Azure, AWS, and GCP.
Computer Vision
Football Match Analysis
End-to-end real-time football analytics system built using YOLO and OpenCV to detect, track, and analyze players, referees, and ball movement from match videos. The system performs multi-object tracking, team classification using jersey color clustering, and frame-level analytics to generate actionable insights for match analysis and performance evaluation.
Computer Vision
Parking Spot Detection
Automated parking occupancy monitoring system that analyzes live or recorded video streams to detect available and occupied parking slots. Built using YOLO-based object detection and OpenCV pipelines to enable real-time space utilization analytics, reducing manual monitoring and improving parking efficiency.
Generative AI
Chat with Documents
Production-ready Retrieval-Augmented Generation (RAG) application enabling conversational interaction with multi-format documents (PDF, DOCX, TXT). Built using LlamaIndex with OpenAI/Gemini models and Pinecone vector storage to deliver grounded, context-aware answers through an interactive Streamlit interface.
Computer Vision
Tennis Match Analysis
Advanced sports analytics pipeline combining YOLO object detection and a custom CNN model to track players, ball trajectory, and court keypoints. The system enables automated match analysis, spatial awareness, and performance insights from raw tennis match videos.