I'm a BSCS student at University of Layyah building real, deployed AI systems — not just notebooks.
My work lives at the intersection of LLM engineering, automation pipelines, and backend APIs.
I build tools that solve real problems: RAG chatbots that answer university queries, ML dashboards with live predictions, automation systems that scrape, organize, and act.
class MuhammadHassan:
role = "AI Automation Engineer"
stack = ["LangChain", "RAG", "FastAPI", "Streamlit", "Groq API", "Python"]
focus = ["LLM Apps", "AI Agents", "Automation", "ML Pipelines", "n8n / Flowise"]
building = "Real products. Not demos."
belief = "Consistency beats motivation — every single time."Problem: Students at University of Layyah had no instant way to get answers about admissions, departments, and campus info.
Solution: Built a RAG chatbot using LangChain + Groq (Llama 3.1 8B). University data is indexed into a vector store, relevant chunks are retrieved per query, and the LLM generates accurate answers — in both English and Roman Urdu.
Problem: Reading long PDF documents to find specific information is slow and inefficient.
Solution: Upload any PDF — the app chunks, embeds, and indexes the content. Ask any question and get precise, context-aware answers using a full RAG pipeline. No hallucinations from generic LLM knowledge.
3 production ML models in one live dashboard:
- 🎓 Student Performance — Classification model predicting academic outcomes
- 🏠 House Price Estimator — Random Forest regression for real estate valuation
- 📉 Customer Churn — XGBoost model identifying at-risk customers
Full EDA pipeline correlating retail sales data with weather patterns:
- Correlation heatmap between weather conditions and sales
- Rolling window trend analysis + linear regression forecasting
- From raw CSV to actionable visual insights
| ⚙️ AI Automation Dashboard | 🗂️ More Tools |
|---|---|
| Multi-page Streamlit dashboard with 3 integrated tools: 🔍 GitHub Analyzer — Deep profile analytics 🌤️ Weather App — Real-time global weather data 📚 Books Scraper — Structured e-commerce data extraction |
File Organizer — Auto local storage cleanup & duplicate handling News Scraper — Real-time headlines via BeautifulSoup Student Mgmt System — OOP-based with custom decorators & JSON PDF Merger — Multi-PDF combining with PyPDF2 Goat Farm OOP System — Real-world OOP project from my own farm 🐐 |
| 🔗 Live App | 📂 Source |