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ACHUTHANANTHA N J

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Ayo,

I’m Achuthanantha N J — a developer, fitness enthusiast, and engineering student based in Bangalore.

I love turning ideas into practical, well-designed web experiences. From calorie calculators and meal suggestion platforms to blockchain-based ticketing systems, I enjoy building projects that blend creativity with tech.

When I’m not coding, you’ll find me lifting at the gym, shooting hoops, or diving into music. I’ve also published research on neuro-muscular systems and enjoy experimenting with new tech — especially in AI, Web3, and decentralization.

Always down to connect with fellow builders or creatives. Got something cool in mind? Let’s talk.

Profile
Achuthanantha N J

Skills

Languages

Java, C, C++, Python

Development

React, HTML, CSS, JavaScript

Design Tools

Figma, Canva

Data Visualization

Tableau, Power BI, Excel

Databases

MySQL, MongoDB

Certifications

Python Programming – Karunadu Technologies Pvt. Ltd.

Programming using C++ – Infosys Springboard

Advanced Java – Cranes Varsity Pvt. Ltd.

ReactJS Programming – Simplilearn

Java Full Stack Development – GLOINNT Solutions Pvt. Ltd.

Database Management System – NPTEL

Data Visualization using Power BI and Tableau – Hybritic Info

Projects

HyperKcal

HyperKcal – Nutrition Tracker & Planner

Hyperkcal is a powerful calorie tracking web application designed to help users efficiently manage their nutrition and fitness goals...

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BlockPass

BlockPass – a blockchain-based ticketing solution

Blockchain-based ticketing solution ensuring secure, duplicate-free verification via QR and smart contracts...

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H2O Alert

H2O Alert – Water Crisis Tracker

Web platform to visualize & track water crises globally. Features heatmaps, real-time stats & alerts...

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TranspoRent

TranspoRent – Vehicle Rental Website

Transporent simplifies vehicle rentals with smooth UX & transparent booking, ideal for everyday travel needs...

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Publications

Neuroflex Muscle Monitoring System

Published in IEEE. A deep-dive into a real-time muscle tracking and response system using surface EMG sensors. This research focuses on accurate movement interpretation, feedback accuracy, and adaptive muscle control — enabling enhanced rehabilitation support, smart prosthetics integration, and even athletic performance analytics.

View on IEEE

Cognitive Muscle Monitor

Published in Springer. This paper explores AI-powered cognitive load estimation through EMG signal analysis. The system interprets muscle fatigue and mental workload using adaptive logic, aimed at improving ergonomics, real-time workload management, and neural feedback systems in smart wearables and bio-feedback platforms.

View on Springer

Contact

Catch me up on GitHub, LinkedIn, or drop a quick message below 🚀

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