Ajito Nelson Lúcio da Costa@ajito_nelson529

LafeAINet is a comprehensive network monitoring platform designed to address connectivity challenges in Timor-Leste. Our solution transforms scattered social media complaints into structured, actionable data through three integrated components. LafeAINet-Report provides a simple mobile-friendly interface for citizens to submit network quality reports, automatically capturing speed, location, and provider data. LafeAINet-Analyzer processes these reports using Llama 3.3 70B AI to generate quality scores and sentiment analysis. LafeAINet-Dashboard visualizes this data through interactive maps and provider comparisons, revealing connectivity gaps across regions. By creating transparency and accountability in telecommunications infrastructure, LafeAINet empowers multiple stakeholders: citizens gain a voice in service improvement, providers identify priority areas for network enhancement, and government officials access evidence for policy decisions. The platform's user-friendly design ensures accessibility even in low-connectivity areas, encouraging widespread participation. Our solution addresses a critical development barrier in Timor-Leste, where reliable internet is essential for education, healthcare, business, and government services. Through data-driven insights, LafeAINet contributes to more equitable digital access, supporting the nation's broader economic and social development goals while creating a replicable model for other emerging markets facing similar connectivity challenges.

The Chronic Disease Risk Predictor is an innovative healthcare analytics platform that leverages artificial intelligence to revolutionize chronic disease prevention. Built on a comprehensive dataset of 450,000 patients with 37.5M medical records, our system achieves 81.76% prediction accuracy using advanced XGBoost technology. Key features include: Real-time risk assessment and analysis, AI-powered medical recommendations using LLM, Interactive data visualization, Comprehensive patient history analysis, and Secure database integration Healthcare providers can easily input patient data and receive instant risk assessments and preventive care suggestions. The system processes 12 major chronic conditions, analyzing patient demographics and medical history to generate personalized recommendations.

Lkwiz-YT is an innovative platform designed to transform the passive experience of watching YouTube videos into an active learning process. Powered by Falcon LLM and AI71 API, Lkwiz-YT provides interactive quizzes and chat functionalities to enhance user comprehension and retention of video content. By submitting a YouTube video link, users receive tailored quizzes that test their understanding of the video's material. Additionally, users can ask specific questions about the content, receiving accurate, context-aware responses. This tool is particularly beneficial for non-native English speakers, offering support in various languages and aiming to improve engagement and knowledge retention for educational videos.

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.

🔍Create AI-driven, open-source solutions to optimize public sector network management in critical areas like predictive maintenance, total cost optimization (TOC), and energy efficiency—enhancing public sector networks' scalability, efficiency, and sustainability in underserved regions. 📅 Join us February 28–March 2, 2025: Participate online or in person in vibrant Barcelona, on the sidelines of MWC 2025, to collaborate with peers worldwide and shape the future of public sector connectivity. 👨‍🏫 Work alongside experienced industry mentors who will provide guidance and insights to elevate your solutions. 💰 $5,000 prize pool for the winners! 🏆 Compete for a chance to join the lablab NEXT incubator program! 🧑🏻‍💻 Don’t wait! Sign up now to secure your spot before the Kick-Off!

🕒 2 days to dive into this transformative healthcare technology challenge! 🏝️ Join us onsite in Honolulu, Hawaii for an exciting hybrid hackathon experience! If you can't be with us in person, no worries—you can still participate and contribute online. 💡 Leverage AI, data analytics, and cloud computing to create innovative solutions that improve healthcare outcomes in Hawaii and beyond. 🤝 Compete solo or team up with diverse healthcare, tech, and academia innovators. 🏆 Stand a chance to win amazing prizes and make an impact!