AAQIB ALI@aaqib_ali96

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.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Leverage Orchestrate’s digital skills to design solutions that automate repetitive tasks, orchestrate workflows across tools, and empower employees to focus on high-value work. ⏳ Complete your project in just 48 hours and showcase your innovation. 🚀 Gain hands-on experience building with IBM watsonx Orchestrate. 💡 Develop practical AI agents that reshape the way teams and organizations operate. ⭐ Learn directly from experts who will support you throughout the event. 🤝 Team up or work independently to bring your vision to life. 💰 Prizes: $10,000 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM watsonx Orchestrate!