Undergraduate Computer Science student specializing in Artificial Intelligence and Machine Learning, with hands-on experience in AI-driven systems, embedded intelligence, and full-stack development. Strong interest in ap…
Undergraduate Computer Science student specializing in Artificial Intelligence and Machine Learning, with hands-on experience in AI-driven systems, embedded intelligence, and full-stack development. Strong interest in applied machine learning, edge AI, and scalable intelligent systems, demonstrated through research-oriented projects, real-world prototypes, and hackathon implementations.
Worked on data visualization and business intelligence projects using Power BI, Python, and Tableau. Responsible for transforming raw data into meaningful insights through interactive dashboards.
Wearable system for real-time rider and vehicle motion analytics • Lean angle and riding phase estimation using IMU and GNSS data • Live 3D orientation visualization using sensor streams • Tech: ESP32, BNO055 IMU, GNSS, Embedded C/C++, Three.js, Firebase
AI-driven border surveillance addressing limitations of conventional radar systems • Human trajectory prediction through obstacles using mmWave radar data • Real-time detection with micro-Doppler analysis and edge AI processing • Scalable architecture using LoRa for long-range (5–10 km) deployment
Unified telemedicine platform integrating IoT vitals and AI-enabled imaging • Real-time monitoring, automated alerts, and doctor–patient dashboards • Scalable digital healthcare solution for rural and urban use cases
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