Iโm an AI Engineer with a strong background in Computer Vision, Deep Learning, and Data-driven applications.
With two Masterโs degrees in AI & Visual Computing, I enjoy bridging cutting-edge research and real-world impact.
๐ก Iโve worked on:
- Medical imaging (lung nodule classification, fall detection).
- Human-centered AI (gait mode recognition, orthosis control optimization).
- Data-driven apps (Python dashboards, automation for business processes).
๐ฏ My mission: to create AI solutions that are practical, explainable, and impactful across health, robotics, and beyond.
๐ซ Reach me at: koulalyidhiraghiles@gmail.com
๐น CapsNet for Medical Imaging โ Binary multi-view lung nodule classification with Capsule Networks.
๐น Real-Time Fall Detection โ Video surveillance-based fall detection system for elderly safety.
๐น Smart Vehicle Detector โ AI-powered system combining YOLOv12 and a Vision-Language Model to detect and characterize vehicles (type, color, manufacturer) with geographic context awareness.
๐น HealthRAG โ A medical document Q&A chatbot using Retrieval-Augmented Generation via LangChain, FAISS, Hugging Face & Flask.
"I believe AI is not just about algorithms โ it's about creating technology that truly serves people."