Amar Ali@amarali85

This project presents an AI-powered chest X-ray classification system designed to assist in the early detection of pneumonia. We trained a ResNet101 deep learning model on chest X-ray images and achieved strong accuracy in distinguishing between Normal and Pneumonia cases. The trained model was converted into a TorchScript (.pt) format for portability and deployed using a Flask web application. Users can upload their chest X-ray images, and the system instantly provides a prediction, along with a user-friendly interface. The project demonstrates the potential of AI in healthcare by providing fast, reliable, and accessible diagnostic support. Future improvements could include multi-disease classification, integration with cloud platforms, and real-time hospital deployment. 🔹 Problem Statement: Pneumonia is one of the leading causes of mortality worldwide, especially in children and the elderly. Traditional diagnosis through chest X-rays requires expert radiologists, which may not always be accessible in rural or under-resourced areas. Delayed diagnosis can lead to severe complications or death. There is a critical need for fast, accessible, and affordable tools to assist healthcare providers in detecting pneumonia. 🔹 Solution: We developed an AI-based chest X-ray classification system using ResNet101, trained to distinguish between Normal and Pneumonia cases. The model was exported into a TorchScript (.pt) format for lightweight deployment and integrated into a Flask web application. Doctors or patients can simply upload a chest X-ray image, and the system instantly returns a prediction. 🔹 Impact: Accessibility: Makes pneumonia detection available to clinics with limited radiology staff. Speed: Provides predictions in seconds, reducing diagnosis time. Scalability: Can be deployed globally via the web and reaching rural. Future Scope: Extendable to detect multiple lung diseases, integration with cloud-based hospital systems, and mobile app deployment.

Join the next edition of our flagship AI hackathon — now featuring Google, AppliedAI, and Qdrant as official partners, with over $45,500 in prizes and exclusive partner challenges. After an incredible launch earlier this year, we’re back with the next edition of our AI hackathon series leading up to the /function1 AI Conference & Exhibition in Dubai. Tap into the power of AI to innovate, build, and take your AI skills to the next level in this high-impact hybrid experience. 📅November 14–19, 2025 • Nov 14–18: Collaborate and build online with AI enthusiasts from around the world. All projects must be submitted by end of day on November 18 • Nov 18 (Dubai): An exclusive on-site build day at Festival Arena Dubai for selected participants. • Nov 19 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: On-site participation is by invitation only. Travel and accommodation will not be covered for selected participants. Further details will be shared with those accepted. 🧑🏻‍💻 Secure your spot now—sign up before the Kick-Off Stream!

Join the Internet of Agents Hackathon to build real-world, rentable agents using Coral Protocol and Solana-powered payments. 📅 September 14–21, 2025 Sept 14–21: Build online with global innovators. Submit projects by the deadline. Sept 20 (NYC): On-site build day at Solana Skyline (invitation only). Sept 21 (NYC): Live pitches, networking, and winner announcements. 🧠 Mentorship from experts and Coral specialists throughout. 🤝 Participate solo or in teams. 📍 Travel and accommodation not covered. 🚀 Sign up now to secure your spot before the Kick-Off Stream!