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6
4
Pakistan
1 year of experience
As a dedicated computer science student at University of Agriculture, Faisalabad, I am deeply passionate about the fields of Artificial Intelligence (AI) and Machine Learning (ML). As I navigate through my academic journey, I’ve been focusing on Python programming to build a strong foundation for these dynamic areas. My ambition is to leverage AI and ML to drive innovation and solve real-world problems. I’m actively seeking to connect with professionals, researchers, and enthusiasts who share my enthusiasm for these technologies.

VisioLab is a state-of-the-art educational ecosystem designed to revolutionize how students interact with and understand complex STEM concepts (Science, Technology, Engineering, and Mathematics). By leveraging advanced Artificial Intelligence, VisioLab bridges the gap between theoretical textbook knowledge and practical application through real-time, interactive simulations. The platform operates on a synchronized dual-portal architecture: The Admin Portal acts as a powerful creative engine for educators. Teachers can seamlessly generate brand-new, fully functional simulations simply by providing a text prompt or reference material. The integrated AI automatically writes the underlying code to visualize abstract concepts—ranging from cellular biology to harmonic physics—giving educators a frictionless way to enrich their curriculum. The Student Portal offers a premium, beautifully designed learning environment where students can actively manipulate variables, observe live metric updates, and watch graphs respond in real-time. To ensure deep comprehension, each interactive model is paired with dynamically generated AI Study Guides and a context-aware conversational AI Tutor capable of providing step-by-step guidance. Built entirely with modern web technologies including React, Tailwind CSS, and Supabase, VisioLab delivers a highly secure, responsive, and deeply engaging educational experience that empowers the curious minds of tomorrow.
13 Jul 2026

Fotopico was created to solve a familiar problem: we all take thousands of photos but can rarely find the exact moment we’re looking for. Instead of scrolling endlessly, Fotopico uses AI to truly “understand” your images. Fotopico is an intelligent visual search platform that leverages Google’s Gemini Vision API and Qdrant vector embeddings to create a powerful semantic photo retrieval system. When users upload images, Fotopico automatically analyzes each one, extracting high-level features such as objects, scenes, context, text, and emotional cues. These embeddings are stored in a vector database optimized for similarity search. When a user enters a query, Fotopico converts the text into an embedding and performs a nearest-neighbor search to return ranked results with confidence scores. This enables natural language photo search—far beyond basic metadata or object detection. Fotopico solves the universal problem of disorganized photo libraries by offering fast, intelligent, and context-aware retrieval.
19 Nov 2025

GrandStay AI is an AI-powered hotel-booking ecosystem built for the future of travel and payments. Leveraging the USDC stable-coin and the Arc network, our platform enables seamless, transparent hotel bookings where guests pay with USDC and hotels receive settlement on-chain with minimal friction. We integrate smart-agent capabilities so users can search for stays, compare options, book rooms, and pay, all through an intuitive AI interface. The AI instantly analyzes user preferences, location, budget and hotel ratings to recommend optimal stays. Payment is handled via USDC on Arc, unlocking faster settlement, lower fees and crypto-native flexibility. Hotels onboard with a dashboard that shows bookings, payouts, and analytics in real time. Our chain-native architecture allows transparency, trust and modular expansion.
8 Nov 2025

Disaster Orchestrator is an AI-driven crisis management platform designed to improve disaster response speed and efficiency. It combines computer vision, natural language processing, and logistics optimization to support decision-makers during natural disasters such as floods. Our system processes imagery data (uploaded by the user or provided as a URL) to detect the severity of a flood and extract relevant insights. It also aggregates social media reports of people in danger, assigns urgency scores to each report, and prioritizes critical zones. Finally, it uses a logistics optimization agent to generate actionable resource deployment plans, for example, assigning boats or trucks to the most urgent zones with estimated arrival times. The solution is built using FastAPI for the backend, Mistral AI for intelligent image analysis, and a clean React frontend for easy interaction. The platform empowers emergency responders, NGOs, and local authorities to make data-driven, life-saving decisions faster than ever before. With its modular design, Disaster Orchestrator can be extended to include wildfire detection, earthquake damage assessment, and additional real-time data sources, making it a scalable solution for multi-disaster management scenarios.
21 Sep 2025