Nihal Patel@nihalpatel

It is aimed to be available to all aviation body regulators.. The existing products in the market are limited to hanger inspection with LLM tools. Our only competitor is Airbus only available on limited aircraft. It has also limited application in military. The idea came as response to increased minor incidents and major air crashes during last 12 months. By introducing this idea, we are aimed at enhancing more safety as none of the planes are monitored from outside during taxi, takeoff and landing by anyone. We are introducing this idea as the first head start, it acts as a report not only for safety inspectors, audit and aircraft engineers. Each aircraft is analyzed in depth in video and the reported and automated grading are generated at the ending to determine whether the aircraft needs no check, minor inspection, minor repairs or major repairs in case of grounding. This acts as a guide for airports/airline staff to make decisions

Mariam Neuro AI aims to provide health guidance and giving them a second chance to increase their life expectancy by providing risk and mitigation health plan to patients with certain conditions, symptoms and patient family history. The app reads the patient's health data and using it's medical context, generates a health and analysis plan in the following ways: Probability of getting a brain diseases, cancer, medications, medication and treatment plan, frequent visit to doctors, diet and exercise plan, mental health advice, treatment plan and risk status etc. Patient's data will adhere to HIPPA laws and regulations. It's competitors include ML models diagnosis and disease prediction apps.

It's a cutting edge Generative AI app that automates the reports of aircraft exterior part damages by identifying the parts that have damage, analyzing the detail through a camera installed at every aircraft stand or gate and then generating a report that includes the description and details of an aircraft such as aircraft type, airline, list of exterior part damages, description about damages, total repair costs and status outcome which consists of three levels: green, yellow and red. Green means that the aircraft is safe and ready to fly, yellow is minor damages and may need some repairs and the aircraft flight may be delayed by several hours and red means major damage and may be repaired and grounded and the flight may be replaced by stand by aircraft. The protoype is set to replace existing reporting systems such as Airbus SRM system and other internal reporting systems developed by airlines and airport companies. It is powered by Gemini model developed by Google and Streamlit as a frontend. It also has Chat AI Aircraft Assistant to provide general information about exterior part damage. Users are ground aircraft engineers, maintenance aircraft engineers, pilots, gate managers and cabin crew. India, KSA, UAE, UK and USA are best markets to test out prototype.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together