Abdul
Qadoos

Full-stack AI/ML learning platform deployed at neuraledge.ink. Built with Angular, Node.js, MongoDB Atlas, Docker, Nginx, and Cloudflare Tunnel on a self-hosted Ubuntu server.

⚡ Live at neuraledge.ink

Comprehensive fault detection system for heavy-duty induction motors integrating IoT and ML algorithms for remote monitoring, control, and energy optimization.

⚡ Increased energy efficiency

Automated attendance system using YOLO face recognition integrated with the MERN stack, eliminating manual recording and significantly reducing human errors.

✅ 98% recognition accuracy

Deep learning system for early COVID-19 detection from chest X-ray images, improving diagnostic capabilities and enabling faster clinical decision-making.

✅ 95% detection accuracy

Predictive model trained on Kaggle dataset enabling early heart disease detection, outperforming baseline models through engineered features and tuned hyperparameters.

✅ 91% F1 Score · 30% accuracy improvement

Smart security system with parental control, IoT-based monitoring, and real-time alerting — built for practical deployment on two-wheelers.

⚡ Parental control + live monitoring