Thanujha Yadav

I built a real-time face recognition attendance system using Django, OpenCV, Redis, and Django Channels. It supports face enrollment, attendance tracking, PDF reports, analytics, and live notifications.

For Terrain Relative Navigation, I developed a system that detects craters in planetary imagery, evaluates hazards, and recommends safe landing zones. I also built visualizations for hazard heatmaps, terrain analytics, and landing reports.

I developed MUX_AI, an audio-processing pipeline that separates sources, transcribes speech, generates MIDI, and renders instruments. Its interactive CLI supports 24 instrument presets.

I also built an Android bus-tracking application with live location tracking, route visualization, proximity alerts, and ETA estimation. At Visionary Hackathon 2.0, I was a Top 10 finalist with a WebXR vocational assessment system using Gemini Multimodal AI.