Rouaa Belhaj ali@Rouaa

The long-term vision for LibAI is to create an adaptable, AI-powered platform that revolutionizes content management and user interaction. Built with Next.js, Supabase, ShadCN, and Tailwind CSS, LibAI emphasizes efficient user management, dynamic content delivery, and seamless adaptability based on internet speed. The platform will incorporate Retrieval-Augmented Generation (RAG)-based query capabilities, allowing users to access relevant, AI-generated responses from vast datasets. Additionally, LibAI will support collaborative features like note sharing among students, enhancing the educational experience. The platform will also include intelligent filtering systems to detect and remove unwanted, negative, or harmful material, ensuring a safe and positive learning environment. The project’s ultimate goal is to integrate personalized, AI-driven content recommendations, expand external API integrations, and provide robust collaboration tools for educational institutions and organizations. LibAI aims to bridge the digital divide, offering equitable access to resources and fostering an innovative, collaborative, and secure learning space for schools and communities.

Based on WHO statistics, About 830 million people worldwide have diabetes. For them Having a healthy diet is extremely important to control their blood sugar. That’s why many health care providers recommend them to see a dietitian to help them develop a healthy-eating plan. And that’s why oftentimes, deciding on what to eat and not to eat and planning meals can be challenging for them. But what if they can manage all of this on a chatbot on their fingertips?Our solution, DiaCura analyses all your health data, and replies to your requests as you wish. Whether you want a daily or weekly meal plan, recipes, grocery shopping list, or you're wondering if you can safely eat the cookie that you’re craving for, DiaCura has the answers. How? We gather all the relevant health data from the user. Using llama through AI/ML API combined with accurate datasets of diabetes-friendly foods, our chatbot delivers scientifically-backed recommendations with clear explanations for every suggestion. Users can chat DiaCura on telegram or in the future on whatsapp or our own website.

It is our pleasure to welcome you to the Wolves Summit AI Hackathon. In partnership with Wolves Summit, we are giving the lablab.ai community an opportunity to develop an application to fight for a great cause - Saving Planet Earth. This is a preliminary event of the Wolves Summit conference that will take place in Vienna, Austria on 20-21 October 2022. Current world events show us that actions towards environmental safety are necessary. Do you have what it takes to protect the planet using Artificial Intelligence? Join us and innovate to build a better future for everyone!

🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱‍💻 Sign up now for free and let's get going!

⌚ Take on a 48-hour challenge packed with creativity. 🚀 Build an app powered by Llama 3.2’s capabilities. 🎓 Get advice and support from industry experts along every step of the way. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program 💰 Stand a chance to win $5,000 in prizes. 🌟 Win the opportunity to be invited, with transport and accommodation covered, to our upcoming Giga Hackathons in Barcelona or Geneva in partnership with UNICEF. 🧑🏻‍💻 Sign up before the Kick-Off Stream to lock in your spot!