Robust vehicle tracking system utilizing advanced computer vision and machine learning techniques for real-time analysis and deployment on NVIDIA GPUs.

The BattleLens project explores the relationship between global conflicts and defense economies, focusing on the Middle East. Using datasets like ACLED and defense spending data, the project employs interactive visualizations to analyze the connections between political violence, arms trade, and economic influences. I implemented Scrollama, D3.js, Leaflet.js, JavaScript, and HTML/CSS to create interactive components, including a geographic map, line charts, stacked bar charts, and stream graphs, and integrated scrollytelling for a seamless narrative experience. The project highlights the paradox of peacekeeping nations profiting from arms trade, emphasizing the need for transparency and ethical accountability in global defense economics.

The "AI-Based Crop Predictor App" is designed to help farmers by recommending crops based on soil, weather, and other environmental factors.

The project focuses on tracking vehicles using a custom feature extractor model and advanced machine learning techniques.