Muhammad Hassaan@hassaan

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Pakistan

2 years of experience

About me

I am Muhammad Hassaan, a passionate Software Engineering student with a strong interest in technology, coding, and real-world problem-solving. As a Front-End Developer, I enjoy building interactive and user-friendly web experiences. Currently, I am expanding my expertise in Python, AI, and Chatbot development. My goal is to continuously grow my skills and contribute to impactful tech solutions that make a difference. Key Points : Aspiring Software Engineer | Proficient in Front End Web Dev(HTML,CSS,JavaScript) | Learning Python, AI & Machine Learning(ML) | LeetCode Enthusiasts | Tech Enthusiasts.

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🤝 Top Collabolators

Jaweria Siddique

"Hi, I’m Jaweria Siddique, a Data and AI enthusiast. I hold a Bachelor’s degree in Information Technology from Bahauddin Zakariya University and am proficient in Python and Data visualization and currently I'm also working on my programming and analytical skills. Outside of work, I’m a reader and listener and enjoy book reading and listening informative podcasts. My aim is to become the top technical women in the world with strong technical expertise in the corporate and education world. Let’s connect on LinkedIn https://www.linkedin.com/in/jaweria-siddique1/

GOHAR FATIMA

Muhammad Haris Khan

I’m an ML enthusiast with a strong foundation in Python and a passion for solving real-world problems using AI. I enjoy experimenting with machine learning models and collaborating in dynamic hackathon settings to turn ideas into working prototypes.

Qutaiba Ahmed Ansari

🤓 Latest Submissions

Legal E-commerce AI Agent

Urdu Legal E-Commerce Agent is an adaptive, multi-agent system designed to make everyday legal help accessible to millions of Urdu speakers. ⚖ The platform combines a Retriever Agent (fetches relevant clauses), Parse & Simplify Agent (explains in simple Urdu), Risk Advisor Agent (identifies hidden risks), and a Draft Notice Agent (auto-generates notices). 📚 All interactions are saved in a reusable user profile (stored as a knowledge graph), allowing personalized follow-ups and connected services in future. 🤝 The system empowers small landlords, tenants, and small businesses with an easy-to-use Urdu Q&A interface, clause simplifier, risk checker, and notice generator — all from local Urdu legal texts like the Rent Act and Contract Act. 💡 The project demonstrates practical agentic capabilities, Groq API + Llama integration, clean local embeddings, and a scalable design ready for more laws, languages, and paid legal services in the future

Hackathon link

8 Jul 2025

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