ABDUL SAMEER
Web Developer, Student, and Software Engineer in Bangalore
Abdul Sameer is an AI/ML developer and full-stack web developer focused on computer vision, real-time AI systems, React websites, FastAPI backends, and production-ready AI MVPs.
He built ArogyaLens for Technovate 2026, an IEEE symposium project featuring a 4-engine real-time visual health pipeline using OpenCV, YOLOv8, NVIDIA Nemotron, and Gemini. The system processes live camera input, detects visual health indicators, and generates explainable AI-powered insights.
Abdul Sameer has also built QueueIQ, an AI queue prediction and RAG-based health education platform for Indian government hospitals using BioBERT NER, IndicTrans2, and FastAPI, and Agrivision-AI, a crop disease detection system trained on 25,393 images across 18 disease classes using EfficientNetB0.
His work combines AI/ML engineering, computer vision, full-stack development, React, FastAPI, RAG systems, LLM integration, and responsive web design.
Abdul Sameer is open to AI/ML internships, freelance AI projects, AI MVP development, computer vision projects, React website development, and full-stack web development opportunities.
Portfolio: https://asameer.netlify.app
Email: [email protected]