Masfa Nasrullah Ansari@masfa16

The Space Information AI Assistant addresses the challenge of fragmented and inaccessible space data by providing a centralized, AI-driven platform. This innovative solution fetches and organizes data from reliable sources such as NASA APIs, space news outlets, and astronomy image libraries. The platform simplifies complex datasets, making them easy to understand and actionable for researchers, educators, and the public. Users can engage in interactive space-related conversations, stay updated with real-time space news, explore upcoming events, and even track the International Space Station. By harnessing the power of AI, the assistant ensures efficient data retrieval and personalized insights, fostering a deeper understanding and appreciation of space science.

Our project, Telemedicine_BOT, is a web-based chatbot designed to help users quickly find nearby hospitals, check the availability of doctors and emergency beds, and get health-related guidance. It is especially useful in rural areas where people often don’t have quick access to hospitals or doctor contact information during emergencies. The chatbot is powered by a smart backend using FastAPI, LangChain, Chainlit, and vector search with FAISS, making it responsive and intelligent in understanding user needs. Users just need a phone or computer with internet access to use it. This solution is designed by a team of software engineers working together to build a meaningful healthtech product. It not only saves critical time during emergencies but also reduces costs by avoiding unnecessary travel and wait times. In the future, we plan to add features like live video calls with doctors, image-based disease identification, and offline SMS alerts for low-internet areas. The project has strong real-world potential, especially in countries like Pakistan, where many communities still lack fast access to medical care. Our goal is to build a tool that can help save lives, improve healthcare reach, and create a reliable digital bridge between patients and hospitals.