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.

1. Problem Statement Worldwide, millions of communities and schools in remote or economically disadvantaged areas suffer from unreliable or absent internet connectivity. Traditional infrastructure is often too expensive or fails under challenging conditions such as floods, mountainous terrain, or rural isolation. This connectivity gap restricts educational opportunities, emergency response, and overall socioeconomic development. 2. Our Solution The Giga Node system introduces a Level-4 autonomous connectivity network that self-manages and optimizes data routes with minimal human oversight. Its key innovations include: Autonomous Decision-Making: By harnessing AI models (such as GPT-4 and LSTM-based predictors), the system can dynamically plan and re-route traffic, ensuring optimal connectivity even in the face of environmental challenges. Terrain Intelligence: Using advanced GIS tools (ArcGIS and WhiteboxTools), the system analyzes terrain features, predicts flood or drainage risks, and strategically places network nodes to avoid potential disruptions. Decentralized Security and Transparency: Each decision is securely logged on an Ethereum-based blockchain. This not only ensures tamper-proof records but also builds trust in the system by verifying network changes in real time. Real-Time IoT Monitoring: Integrated IoT sensors continuously track the health and performance of each Giga Node, enabling proactive maintenance and automatic failover during outages. 3. Technical Architecture The system is organized into several interlocking layers that together form a robust, scalable network: Data Acquisition Layer: GIS Terrain Data: Satellite imagery, Digital Elevation Models (DEM), and weather data. IoT Sensors: Deployed on Giga Nodes to collect real-time operational data. AI Engine:

Attach Spin Astronauts: A Spin-Launch Payload System Attach Spin Astronauts is a spin-launch payload system for manned orbital missions, using CrewAI and a browser-controlled agent to enhance efficiency and reduce carbon emissions. Five-Stage Mission Framework Spin Acceleration: A ground-based launcher propels the payload to high velocity, minimizing onboard propulsion needs. Orbital Insertion: The payload is guided into orbit with small thruster corrections. On-Orbit Stabilization: Attitude correction ensures readiness for docking. Rendezvous: A separately launched manned vehicle docks with the payload. Mission Execution: The payload is integrated into mission objectives. Supporting Programs Browser-Based Control: Real-time mission oversight and adjustments. Spin Launcher Optimization: AI-driven launch efficiency improvements. Orbital Navigation AI: Ensures stability and collision avoidance. Autonomous Docking: CrewAI agents enable seamless payload integration. Payload Utilization System: Manages deployment and mission execution. Development Process The project was designed using ChatGPT, followed by two CrewAI programs: one for Design Review and another for a Launch Press Release. Sora and Suno generated a video demo, and a Python Orbit Simulation was developed based on CrewAI’s redesign. Finally, Browser Use was assigned as the Launch Control Engineer, overseeing all programs. Advantages Cost-Efficient: Reduces reliance on chemical rockets. Eco-Friendly: Minimizes emissions for sustainable space exploration. Scalable: Adaptable for research and logistics missions. This innovative approach provides a lower-cost alternative to traditional launches, optimizing efficiency while supporting manned missions in space.

Dr. AIML revolutionizes healthcare by integrating cutting-edge AI with precision, adaptability, and empathy. It leverages advanced APIs and technologies to deliver real-time medical consultations, personalized diagnostics, and ethical care anytime, anywhere. Dr. AIML interacts seamlessly with OpenAI, Llama3 Groq, and Together.ai APIs, enabling access to powerful language models and medical insights. Using python-dotenv, it securely manages API keys and environment variables for streamlined operations. The platform’s user interface is powered by NiceGUI, a FastAPI-based framework that ensures a responsive and user-friendly experience. Backend operations utilize aiohttp for high-performance asynchronous HTTP handling and asyncio for efficient concurrent processing. For data handling, Dr. AIML employs ujson for fast JSON processing and psutil for system-level process management, ensuring optimal performance. Additionally, Streamlit is used to create an interactive and engaging front-end experience for users. With its mission to provide accessible, accurate, and ethical healthcare, Dr. AIML combines state-of-the-art APIs, secure integrations, and advanced machine learning to redefine the future of medical consultation. It’s more than just AI; it’s a trusted partner in safeguarding human health.

👩‍💻Explore Vectara, the trusted platform for building innovative AI applications with advanced datasets. 🚀 One week of intensive online development with workshops and mentorship sessions! 🏆15,000 USD prize pool (including 7,000 USD in cash) with special prizes from LlamaIndex, Unstructured, Vectara, and Together.ai 🤝 Opportunities for networking with developers and startup enthusiasts. 💡 Create applications that help create a positive change in the world and drive impact! 🕵️Create Vectara account to be eligible for hackathon participation and fill out the application form to be accepted.

🕒 48 hours to complete the challenge 💡 Create innovative apps with Grok-1 trained specifically for large amount of text data 🤝 Take part alone or form a team with other participants 🚀 The final project can be used for your portfolio, and the startup application to the Slingshot accelerator

🔧 Spend 10 days launching your startup! 🚀 Improve your prototype previously developed at hackathons. 🤜 Collaborate with peers or work independently throughout the Hackathon. 🤖 Gain complimentary access to learning resources about Generative AI models, AI Agents, and beyond. 🚀 Explore opportunities with GAIA Startup Accelerator for Hackathon victors. 🌍 Connect and innovate alongside a worldwide AI community!