class MuhammadHassan:
name = "Syed Muhammad Hassan"
location = "Pakistan 🇵🇰"
status = "Student | Aspiring AI Engineer"
passion = ["Deep Learning", "Computer Vision", "Data Science", "Web Dev"]
currently = "Building AI systems that solve real-world problems"
learning = ["Transformers", "Diffusion Models", "MLOps"]
fun_fact = "I taught a model to detect 38 plant diseases at 98.75% accuracy 🌿"| 🔬 Project | 💡 Description | 🛠 Stack |
|---|---|---|
| 🧠 AgenticEra-Studio | Production-grade multi-agent AI platform with autonomous Research, Planning, RAG Document Analysis, and LangGraph Supervisor orchestration | Next.js 14, FastAPI, LangGraph, Gemini, Groq |
| 🩺 X-Pathology | A Multi-Model Explainable AI (XAI) MedTech platform for Histopathology and Brain MRI analysis. | Next.js, FastAPI, TensorFlow |
| 🌿 Plant Disease Detector | Detects 38 plant diseases with 98.75% accuracy | Python, TensorFlow, CNN |
| 🌌 RepoNova | Turns your GitHub into an interactive 3D galaxy | TypeScript, React Three Fiber |
| 👤 FaceCluster | AI pipeline that sorts photos by identity — no training needed | Python, FaceNet, DBSCAN |
| 🔬 XPathology — Colon Specialist | High-accuracy/validation training of CNN Model for Colon Cancer Detection | Python, Keras, CNN |
