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3
3
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.

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