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2.25.6

Amnakhan098

Amna Khan@Amnakhan098

2

Events attended

2

Submissions made

Pakistan

1 year of experience

About me

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.

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🤝 Top Collaborators

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Wajeeha Ghazi

💻 Software Engineer | AI/ML & GenAI Enthusiast 🤖 | Python Developer 🐍 | Web Development 🌐 | Passionate about Deep Learning & Innovative Tech 🚀 | Always learning, always building ⚡

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Muhammad sajeel

I am an AI Engineer with experience in developing and deploying AI-driven solutions. I have worked on projects spanning machine learning, natural language processing, computer vision, and AI-powered applications. My expertise includes building scalable AI systems, integrating deep learning models, and optimizing performance for real-world applications.

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Lorenzo Camargo

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Temoor Iqbal

🤓 Latest Submissions

    DisasterRelief AI

    DisasterRelief AI

    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 reactive—costing 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 histories—helping 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 coordination—bridging the gap between chaos and action.

    Hackathon link

    8 Jul 2025

    AI- Powered Mock Interview Platform

    AI- Powered Mock Interview Platform

    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 the tech industry.

    Hackathon link

    15 Jun 2025

👌 Attended Hackathons

    Co-Creating with GPT-5

    Co-Creating with GPT-5

    🕒 6 days to explore the full potential of GPT-5 💡 Build next-gen AI apps 🤝 Compete solo or form a dream team 🚀 Connect with global innovators 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

    RAISE YOUR HACK

    RAISE YOUR HACK

    This is your chance to push boundaries, solve real-world challenges, and create impact at the official hackathon of the RAISE Summit 2025 at one of Paris's most iconic venues: Le Carrousel du Louvre. 📅 July 4–8, 2025 — Collaborate online with a global community of innovators. 🏛️ July 8–9, 2025 — Limited on-site access to the RAISE Summit in Paris (300 participants), exclusively for selected teams. 🏆 July 9, 2025 — Winners will be announced live on stage during the RAISE Summit. 🌟 Expert mentors will guide you throughout your hackathon journey. 🤝 Work solo or build your dream team to create something extraordinary. 💰 Compete for a share of up to $150,000 in prizes. 🔒 Sign up before the Kick-Off Stream to secure your spot!

    Trae AI IDE: Zero Limits Hackathon

    Trae AI IDE: Zero Limits Hackathon

    🕒 Complete the challenge within 48 hours and unlock incredible prizes! 📅 June 13 - June 15 – Participate online, collaborating with innovators and builders to explore a new way of software development. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 💰 $80,000 in credits and prizes! ⏳ Sign up before the Kick-Off Stream to secure your spot!

📝 Certificates

    RAISE YOUR HACK

    RAISE YOUR HACK | Certificate

    View Certificate
    Trae AI IDE: Zero Limits Hackathon

    Trae AI IDE: Zero Limits Hackathon | Certificate

    View Certificate