6 Projects Found
Grassroots Sports & Scoring Platform
Grassroots sports technology platform designed for amateur athletes to track live match scores, manage team rosters, and build verified digital sports profiles.
A grassroots sports tech platform built to digitize amateur athletics. Developed the Flutter mobile client and backend integrations, implementing secure OTP/magic link authentication, real-time database sync, and custom SMTP delivery.
Personal Safety App
Offline-first safety app with voice/gesture SOS, OpenCV facial distress detection, and BLE 5.0 mesh.
Smart safety ecosystem to protect individuals in distress. Integrates advanced hardware sensor monitoring to detect panic indicators (voice stress patterns, rapid acceleration) and alert local responders automatically.
AI Context Handoff Protocol
Cross-device AI context courier. Chrome Ext captures conversations; routes via BLE 5.0 / Cloudflare.
Low-latency, cross-device AI session handoff protocol allowing active web browser LLM tasks to transition to mobile. Uses BLE as offline transport. Engineered as Manifest V3 Extension + Flutter client + Cloudflare Workers.
YOLOv8 Video Background Remover
Desktop tool using YOLOv8 for real-time video background removal.
AI-powered desktop application built to automate video background subtraction. It utilizes the YOLOv8 neural network for precise human instance segmentation in real-time. Replace backgrounds with solid colors, images, or Gaussian blur.
Voice Assistant Companion
Python voice assistant with system control, speech recognition, and browser automation. Yields 30% faster task execution.
Modular, voice-activated companion running locally on Python. Built with offline fallbacks to perform system tasks, web scraping, search indexing, and web automation without external dependencies.
Computer Vision Hostel Laundry App
CV-powered app detecting clothing items from camera. Tracks hostel laundry with wash schedules and offline/cloud sync.
Hostel laundry management solution powered by Computer Vision. Solves the tracking problem by identifying laundry items on-device via camera feed, forecasting pickup availability, and syncing with offline-first local storage.
Iβm Vishnu. I build things. Mostly AI/ML. CSE'28 student.
Selected as a Google Student Ambassador. That looks good on paper. But I care more about building things that actually work.
Like WashLens AI, an AI system I built to prevent clothes from going missing in college hostels using automated classification. Or Nexora AI, a voice assistant I wrote from scratch in Python that executes desktop tasks 30% faster than baselines. And Camouflage AI, a video background removal tool powered by YOLOv8 that processes files in under 30 seconds.
In June 2025, I co-founded Terax AI to build an offline-first SOS system for Android. In December, I joined Crewplay as a Frontend Engineer Intern to prep for their Play Store launch. February 2026 was chaotic. Three hackathon finals in one month. We took our AI meeting orchestrator, CogniChain, to the Top 50 nationally at Zoho Cliqtrix'26.
I don't just stick to web dev. I'm currently working on Axoltl, building a BLE context courier protocol.
"At any rate, humans change over time based on their actions. Truth be told, at the end of the day, equality is just a fantasy. And most of us go through life denying the fact that we live in a meritocracy."
Check my GitHub. Itβs where I keep the active projects, the messy code, and the small wins.
Chennai, Tamil Nadu, India
Second-year Computer Science Engineering student at Jeppiaar Institute of Technology with expertise in AI/ML and full-stack development. Co-founded Terax AI, an open-source personal safety app leveraging Flutter and machine learning for enhanced user protection. Currently serving as Frontend Engineer Intern at CrewPlay and recognized as Zoho Cliqtrix'26 finalist for developing CogniChain, an AI-powered meeting orchestrator that automates action items and task management. Demonstrates strong problem-solving skills and a product-driven approach to building impactful, user-focused solutions. Proficient in Flutter, Python, AI/ML, and full-stack development with hands-on experience delivering production-ready applications.
Analyzed complex mathematical and physics problems using concepts from RD Sharma, Cengage, SL Arora, and HC Verma, and collaboratively solved advanced questions from Irodov and JD Lee.
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