A pre-final year CSE student building production-ready web, IoT, and AI systems, and a 7x hackathon winner for real-world, impact-driven solutions.
Here are a few technologies I have been working with recently
C++
C
JavaScript
Java
TypeScript
Python
Arduino
Node.js
Express.js
Git
Next.js
React
MongoDB
Raspberry Pi
AWS
Start with the real-world problem, not the technology
Hands-on experience developing, deploying, and maintaining full-stack applications in real production environments.
A snapshot of key milestones that reflect my ability to turn ideas into impactful, real-world solutions through technology, research, and innovation.
Explore how my educational experiences have fueled my passion for technology and innovation.
An AI-powered smart farming system that combines IoT sensors, YOLO-based computer vision, and predictive models to monitor crop health, detect weeds, and forecast yield and harvest prices. Integrates LIME for Explainable AI (XAI) to ensure transparent predictions, delivering real-time alerts via web, mobile, and IVR calls — helping farmers increase yield by ~25% while reducing input costs by ~20%.
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An interactive humanoid system built on Raspberry Pi that uses YOLO and DeepFace for real-time face and emotion detection, paired with local LLMs (Ollama / TinyLlama) for offline conversations. Powered by Python and OpenCV, Aura renders dynamic expressions and responds intelligently in real time to people and physical stimuli in real time.
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A smart recycling and sustainability platform that rewards users for responsible waste disposal. Using RFID/fingerprint authentication and material detection, EcoCred tracks plastic and metal recycling, assigns green credits, and visualizes environmental impact through an online dashboard - turning recycling into a measurable, incentivized habit.
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Have a question? Email me — I’ll reply when possible. Solicitation emails will be ignored.
