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.
<p>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.</p>
<p> 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</p>
<p>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</p>
<p>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 </p>
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