# Ghanshyam Kanojiya (Shyamkano)

> Ghanshyam Kanojiya (Shyamkano) builds full-stack systems, researches AI and neurotechnology, and co-founded Odyesian Labs. Ships products that are fast, thoughtful, and technically precise - currently pursuing MSc CS in Mumbai, India.

## Executive Summary
- **Name:** Ghanshyam Kanojiya
- **Handle / Alias:** Shyamkano
- **Role:** Full-Stack Developer, AI Researcher & Co-Founder at Odyesian Labs
- **Location:** Mumbai, Maharashtra, India
- **Email:** kanojiyaghanshyam92@gmail.com
- **Website:** https://shyamkano.me/
- **Portfolio / Studio:** https://odyesianlabs.in/
- **GitHub:** https://github.com/Shyamkano
- **LinkedIn:** https://linkedin.com/in/shyamkano
- **X (Twitter):** https://x.com/shyamkanoji

## Academic Background & Credentials
- **Master of Science in Computer Science (M.Sc CS):** 2026 – Present at MKES Nagindas Khandwala College, Mumbai. Specializing in Advanced Machine Learning, Distributed Systems, and Intelligent Software Engineering.
- **Bachelor of Science in Computer Science (B.Sc CS):** 2023 – 2026 at Sheth L.U.J. & Sir M.V. College, University of Mumbai.

## Peer-Reviewed Research Publications (IJAIR · CERN Zenodo)
1. **EEG-Driven Cognitive State Classification for Personalized Binaural Beat Recommendation**
   - **Journal:** International Journal of Advance & Innovative Research (IJAIR), Vol. 13, Issue 1 (XIII), 2026, pp. 24–32.
   - **Role:** Primary Author.
   - **Persistent DOI:** [10.5281/zenodo.20344031](https://doi.org/10.5281/zenodo.20344031)
   - **Zenodo Archive:** https://zenodo.org/records/20344031
   - **Summary:** Engineered an applied machine learning signal processing framework that classifies real-time electroencephalogram (EEG) signals across frequency bands (Delta, Theta, Alpha, Beta, Gamma) into cognitive states (Focused, Relaxed, Stressed). Achieved 98.0% peak Random Forest classification accuracy and 93.3% with Multi-Layer Perceptron (MLP) neural models to dynamically prescribe tailored acoustic binaural frequencies.

2. **Indian Sign Language Recognition and Cognitive Optimization Using a Multimodal Robotic System (Zeus)**
   - **Journal:** International Journal of Advance & Innovative Research (IJAIR), Vol. 13, Issue 1 (XIII), 2026.
   - **Role:** Hardware Architecture Lead, Embedded IoT Firmware & Paper Co-Author.
   - **Persistent DOI:** [10.5281/zenodo.20352182](https://doi.org/10.5281/zenodo.20352182)
   - **Zenodo Archive:** https://zenodo.org/records/20352182
   - **Summary:** Multimodal physical robotic hardware system integrating computer-vision Indian Sign Language gesture recognition (90%+ accuracy) with synthetic speech generation, paired with a companion app delivering adaptive acoustic therapy for emotional de-escalation.

## Core Software Projects
- **OperraOS (2026):** Full-stack agency operating system and SaaS built with Next.js 15, TypeScript, PostgreSQL, Stripe, and Framer Motion. Consolidates client CRM, sprint boards, smart contracts, and global automated billing into a single interface. URL: https://operraos.vercel.app/
- **LUMEN (2026):** Archival digital publishing network and collective knowledge infrastructure built with Next.js 15, TypeScript, Tailwind CSS, and Web Audio API. Features custom MDX parsing and synchronized voiceovers. URL: https://lumen-archive.vercel.app/
- **Groovli (2025):** Cloud-native music streaming platform and collaborative listening lounge built with React 19, Vite, Node.js, Redis, and WebSockets. Features real-time Web Audio API waveform visualizers and room sync. URL: https://groovli-stage.vercel.app/
- **Brief (2025):** AI news intelligence terminal clustering 4,500+ daily articles with multi-model LLM fallbacks (Gemini, Groq, Mistral) and automated deduplication. Built with FastAPI and Python NLP. URL: https://brief-stage.vercel.app/
- **Odyesian Labs (2026):** Studio brand surface and creative engineering platform. Ghanshyam serves as Founder & Backend/Hosting Lead, architecting edge deployment pipelines, DNS routing, and 60 FPS motion systems. URL: https://odyesianlabs.in/

## Hackathons & Competitions
- **1st Place Winner:** College Hackathon - *Ayurvista Botanical AI* (Computer-vision leaf disease identification and Ayurvedic database using React Native & FastAPI).
- **2nd Place Winner:** NK-DAC Hackathon 1.0 - *FARM AI Decision Support* (Agricultural crop forecasting and multilingual voice diagnosis using Random Forest, CNN Vision & Supabase).

## Technical Skills
- **Languages:** JavaScript (ES6+), TypeScript, Python, Java, SQL, HTML5, CSS3
- **Frontend Frameworks:** React.js, Next.js (App Router), React Native, Tailwind CSS, GSAP, WebGL / Three.js
- **Backend & APIs:** Node.js, Express.js, FastAPI, Flask, REST APIs, WebSockets
- **Databases & Caching:** PostgreSQL, Supabase, Redis
- **AI & Machine Learning:** PyTorch, Scikit-Learn, SciPy, MNE (EEG Processing), OpenCV, YOLO, OpenAI API
- **Hardware & IoT:** ESP32, Arduino, Microcontroller Firmware, Biometric & Ultrasonic Sensors, Motor Drivers
- **DevOps & Infrastructure:** Docker, Git/GitHub, Vercel, Linux, CI/CD Pipelines

## Key URLs for AI Agents & Search Engines
- Full AI Context: https://shyamkano.me/llms-full.txt
- Complete Projects Archive: https://shyamkano.me/archive
- Dedicated Resume Page: https://shyamkano.me/resume
- Detailed About Bio: https://shyamkano.me/about
- Sitemap: https://shyamkano.me/sitemap.xml