Rehan Ahmed@RehanAhmed

he Resource Allocation Optimizer is an innovative AI-driven solution designed to address the challenges of bandwidth allocation in public sector networks, particularly in underserved regions. Public sector connectivity networks often face issues like resource scarcity, suboptimal prioritization, and inefficiencies in service delivery for critical sectors such as healthcare, education, and emergency services. This system leverages the power of Groq's Llama API to analyze incoming service requests and assign numerical priority scores based on urgency, bandwidth requirements, and the nature of the service. These prioritized requests are then processed by a dynamic resource allocation algorithm that distributes available bandwidth in real-time, ensuring that high-priority services receive the resources they need without delays.Key features of the project include: Simulated Environment: A network simulation generates realistic service requests for bandwidth from sectors like healthcare, education, and emergency services. AI-Powered Decision Making: The Groq Llama model analyzes requests and assigns priorities, enabling fast and accurate resource allocation. Dynamic Resource Allocation: The allocation algorithm ensures bandwidth is distributed efficiently, balancing critical needs and overall network availability. Interactive Dashboard: Built using Streamlit, the dashboard visualizes service logs, priorities, and bandwidth usage with real-time updates and dynamic charts, offering transparency and user engagement. This project has immense value in enhancing the efficiency of public sector networks by automating resource management, improving service outcomes, and reducing operational overhead. It is designed with scalability in mind, allowing integration with real-world networks and enabling further customization for specific scenarios.

Radiology Assistant AI is an advanced system designed to automate the analysis of medical imaging, such as X-Ray and MRI scans. By leveraging machine learning and image recognition, it detects abnormalities like fractures, tumors, and lesions with high accuracy. The system generates standardized medical reports, providing detailed descriptions and diagnostic suggestions, which are then reviewed by a radiologist. It integrates seamlessly with PACS and EHR systems, streamlining workflows and reducing the burden on healthcare providers. This AI not only improves diagnostic speed and precision but also allows radiologists to focus on more complex cases, ultimately enhancing patient care and clinical efficiency.

ReefVision Insight is Streamlit app designed to revolutionize marine exploration. The first function employs advanced image enhancement techniques, making previously blurry underwater images clear and suitable for in-depth marine studies and oceanic research. The second function involves predicting the health condition of coral reefs. This is achieved through a two-step process - a coral classifier determines whether a coral is healthy or not, and the GPT-4 Vision model then provides a detailed output based on the classifier's results and the original image. ReefVision is a comprehensive tool for researchers and enthusiasts passionate about understanding and preserving marine ecosystems.

⏱️ 4 weeks to design and ship a working Web3 product or AI agent. 📅 February 4 to March 1, 2026 • Feb 4 – Hackathon opens. Teams can start building and submitting. • Feb 5 to March 1 – Build, test, and iterate. • March 1 – Final submissions due. 🚨 Important eligibility reminder To be eligible for prizes, teams must post their submission video on X and tag @lablabai and @Surgexyz_. 🤝 Build solo or with a team. 💰 $50,000 prize pool in $SURGE Token. ⚠️ Self-service hackathon This is a fully self-service hackathon. There are no live streams, kickoff sessions, or scheduled workshops. Participants can register, build, and submit at any time before the submission deadline.

Join the Internet of Agents Hackathon to build real-world, rentable agents using Coral Protocol and Solana-powered payments. 📅 September 14–21, 2025 Sept 14–21: Build online with global innovators. Submit projects by the deadline. Sept 20 (NYC): On-site build day at Solana Skyline (invitation only). Sept 21 (NYC): Live pitches, networking, and winner announcements. 🧠 Mentorship from experts and Coral specialists throughout. 🤝 Participate solo or in teams. 📍 Travel and accommodation not covered. 🚀 Sign up now to secure your spot 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!