.png&w=256&q=75)
4
2
Pakistan
1 year of experience
I am an enthusiastic and skilled AI developer with a strong foundation in machine learning, deep learning, and computer vision. I have worked on a range of AI-powered projects, including healthcare diagnostics, dental scan analysis, and intelligent automation tools. My passion lies in building real-world solutions using cutting-edge technologies such as generative AI, LangGraph, and Trae AI IDE. I enjoy exploring new frameworks and experimenting with innovative ideas that can create meaningful impact. With a constant drive to learn and grow, I aim to push the boundaries of AI by combining technical knowledge with a creative and solution-focused mindset.

DisasterRelief AI is a real-time, AI-powered platform designed to transform how humanitarian teams respond to natural disasters. Traditional disaster response systems are often delayed, fragmented, and reactiveโcosting precious time and lives. Our platform solves this by using artificial intelligence to detect crisis zones, assess urgent needs, and coordinate relief operations with unprecedented speed and accuracy. At the heart of DisasterRelief AI is a multi-source data engine that ingests live satellite imagery, geo-tagged social media posts, emergency alerts, and drone footage. Computer vision models (e.g., YOLOv8, UNet) analyze imagery to detect flooded zones, collapsed infrastructure, and fires. NLP models (e.g., BERT, GPT) extract distress signals and supply requests from public posts, enabling localized need detection even in communication-poor areas. This information powers a real-time dashboard that shows dynamic heatmaps, optimized aid routes, inventory status, and task coordination across multiple agencies. The platform also includes a smart logistics planner that generates safe and efficient delivery routes based on road conditions, urgency levels, and available resources. DisasterRelief AI builds a reusable knowledge graph of disaster-prone regions, infrastructure layouts, and response historiesโhelping organizations plan smarter for future crises. Our system has clear real-world applications: during Cyclone Idai (2019) and the Haiti Earthquake (2021), delays in response were driven by data blind spots. With DisasterRelief AI, responders could have acted faster and more precisely. DisasterRelief AI empowers responders with live intelligence and coordinationโbridging the gap between chaos and action.
8 Jul 2025

Our project is an AI-powered SaaS platform designed to simulate real job interviews and help candidates prepare with confidence. Users can input job titles and expertise, and the system generates tailored coding questions and scenario-based prompts. With the help of Vapi AI, the platform conducts interactive voice interviews, mimicking real recruiter interactions. After each session, users receive detailed feedback on their answers, problem-solving approach, and communication skills. The platform also allows users to set daily goals and track their progress, ensuring consistent preparation. This solution is especially beneficial for students, professionals switching careers, or anyone aiming for competitive roles in theย techย industry.
15 Jun 2025