Ayaz Ali@ayaz_lakho658

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.

ezAGI {easy Augmented Generative Intelligence} provides a comprehensive framework to develop modular, scalable and efficient AGI. Integrating multiple AI models ezAGI handles API management efficiently while managing memory effectively for continuous reasoning and interaction without user intervention. Components of ezAGI include SocraticReasoning, AGI, FundamentalAGI, LogicTables, OpenMind, memory management and API key management with multi-model support.ezAGI seamlessly integrates models from Together, Groq, and OpenAI to enhance any LLM with Continuous Autonomous Reasoning. ezAGI creates short term memory as an input/reponse constant. Leveraging internal reasoning and logic ezAGI will autonomously create decisions based on data inputs and predefined rules. ezAGI is a comprehensive framework for developing autonomous modular AGI systems. SocraticReasoning.py implements socratic reasoning to add premises and challenging them to draw_conclusion. agi.py handles learning from data to make_decision by initializing AGI as a chatter instance. memory provides the abiltity to learn from environmental data and store dialogue as history. automind.py manages environment interaction and response generation to . logic.py handles logical variables and expressions, generates truth tables, and validates truths, supporting ezAGI's reasoning. openmind.py provides an internal reasoning loop for continuous AGI operation, adding prompts reasoned from premise into processed conclusions while autonomously saving internal reasoning. memory.py manages memory storage, ensuring organized and persistent storage of short-term, long-term, and episodic memories. api.py uses the dotenv library for secure API key management, allowing dynamic integration with AI services. chatter.py provides input-response mechanisms for a multi-model environment including together, groq, and openAI ensuring robust and logical response. ezAGI augments the intelligence of large language models.

In this project, we confront the linguistic barriers faced by Yoruba speakers due to limited language resources. Image generation models primarily excel with English prompts, posing a challenge for non-English speakers. To address this, we embarked on a dual-track approach: data collection and model development. Firstly, recognizing the scarcity of Yoruba datasets, particularly in image generation prompts, we meticulously curated our own dataset. English sentences were carefully selected to serve as image generation prompts and then translated into Yoruba using a dictionary-based approach. Next, we developed a custom translator model trained specifically to translate Yoruba into English. This intermediary step ensures seamless integration with image generation models, allowing for smoother operation and accurate results. Through rigorous testing, we achieved an impressive 85% accuracy on the test set, affirming the efficacy of our approach. The core strength of our project lies in its ability to empower users to generate images in their native language without encountering language barriers. By collecting our own data and training custom models, we circumvent the limitations imposed by the scarcity of Yoruba resources. Leveraging the SDXL API for image generation further enhances the user experience, ensuring high-quality outputs. Looking ahead, we envision extending our efforts to include additional languages such as Fon and Dendi, expanding our dataset and catering to a broader audience. Furthermore, our ultimate goal is to develop a model capable of directly generating images from Yoruba, Fon, and Dendi without the need for translation into English. In summary, our project not only addresses a pressing need within the Yoruba-speaking community but also lays the groundwork for future advancements in multi-lingual image generation. Through our innovative approach, we pave the way for inclusive, barrier-free communication and creative expression.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!

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!

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!