
5
3
Pakistan
1 year of experience
AI enthusiast and Computer Science graduate skilled in Python, Computer Vision, and Full‑Stack Development. Experienced with YOLOv8/v9/v10, OpenCV, and PyTorch for real‑time detection systems. Proficient in building end‑to‑end web apps using FastAPI, React, and Streamlit. Familiar with APIs such as OpenAI, Groq, and Qloo. Passionate about creating intelligent, user‑centric solutions that bridge AI innovation and real‑world impact.

In today's digital age, online forums like Reddit are the new public square, hosting millions of conversations that shape opinions and trends. However, this landscape is often chaotic, polarized, and difficult to navigate. It's nearly impossible to get a clear, unbiased signal from the noise. Our project, Polarization Mapper, is designed to solve this problem. It's an intelligent AI agent that acts as a digital sociologist, diving into online communities to map the true state of public opinion. How It Works & What It Delivers: When you give the agent a topic—from political debates to climate change or new product reviews—it gets to work. It fetches the most influential posts and comments from Reddit and processes them through a Natural Language Processing (NLP) pipeline. This isn't just basic sentiment analysis; its key function is stance detection. The agent identifies and clusters different, often opposing, viewpoints. The final output is a clear, data-driven visualization of the entire conversation, showing where people agree, where they disagree, and what the core arguments are. This transforms a messy sea of text into actionable insights. This tool provides invaluable insights for a wide range of users: Market researchers can get authentic, unfiltered feedback on products. Political strategists can track shifting public sentiment during campaigns. 🗳️ Policymakers and NGOs can better understand public concerns on critical issues. Ultimately, Polarization Mapper brings clarity and structure to the chaotic world of online discourse, making it possible to truly understand the pulse of the public.
21 Sep 2025

Green Mentor Owly is a AI powered virtual sustainability Mentor for children and young learners. It combines conversational AI, gamified eco-quests, and safe, age-appropriate education to teach green skills in a fun and engaging way. to foster eco-friendly habits and sustainability awareness in children. Children today face a growing disconnect (around 90% of kids lack eco-skills), Traditional education often fails to engage them in eco-friendly practices in a fun, interactive way, ChatGPT are not tailored for safe, age-appropriate learning, leaving a gap for specialized solutions that combine education, play, and measurable eco-impact. we atrget not only children but Parents, educators, schools, eco-clubs, CSR-driven companies, EdTech companies, our differentiation unlike generic ChatGPT, Eco Mentor is a specialized, branded eco-education product, Potential Scalability it can expand to schools, NGOs, CSR programs. AFRICA/ MENA/ASIA and we build environmental & social Impact.
24 Aug 2025

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
8 Jul 2025