Néstor Campos@nstor_nicols_campos_rojas991

Aivana is a revolutionary e-commerce platform that transforms online shopping by seamlessly integrating artificial intelligence with Arc blockchain technology for secure, transparent transactions using Arc network. Our advanced AI sales assistant leverages OpenAI models to provide natural language product discovery, personalized recommendations, and guided purchasing experiences. The platform features intelligent semantic search, real-time inventory management with blockchain-verified transactions, and automated payment processing. Sellers benefit from comprehensive dashboards with analytics, while customers enjoy secure, low-cost transactions with instant confirmations. By combining conversational AI with blockchain's security and USDC's stability, Aivana creates a next-generation shopping experience that eliminates traditional e-commerce friction points. The platform includes sophisticated multi-tool orchestration for cart management, payment verification, and inventory tracking, all secured by Arc's energy-efficient blockchain infrastructure. This innovative approach provides global accessibility, regulatory compliance, and environmental sustainability while maintaining the convenience of traditional e-commerce platforms.

Intelligent virtual assistant using OpenAI or compatible services, with: Automatic conversation handling per user - Multi-channel integration:WhatsApp (Twilio and native WhatsApp Business API), Telegram, Email (SMTP), SIP (Voice calls), WebRTC (Video/Audio calls) - Single extensible webhook for more channels - SQLite database for local development - SQL Server or Supabase database for production - Dynamic and extensible tool system - Flexible model and endpoint (baseURL) configuration - Model Context Protocol (MCP) integration to connect with remote servers - Voice message support (STT/TTS) with ElevenLabs and Deepgram

Summarize information from large texts using Cohere's models, and then use those summaries to listen to them in a natural voice using the ElevenLabs service. The idea of Summarizer is to make it easier for people to understand certain complex texts (considering that there are still many people who have low reading comprehension or attention loss) and thanks to generative Artificial Intelligence, they can better understand certain messages or information in less time. This version of Summarizer is just a demo, but we will turn it into a real product, through web app and API, to be able to send audio through different channels to improve people's productivity, saving time in understanding large information.

AI agents are able to carry out all kinds of medical consultations. With this agent, you can enter all the details and Prem Doctor will try to diagnose or refer you to the right doctor. In order to safeguard people's health data, we use PremAI for the use of different models in a private environment and do not rely on public services. With Prem Doctor, people can trust the agent to give their best diagnosis (without prescribing any medication) without storing or exposing their private data to third parties. Additionally, this agent can scale thanks to PremAI technology and the different Open Source models available.

Pitch Analyzer allows you to receive a complete pitch from a startup in text format, analyzes the content, and then simulates a conversation between a potential investor and the founder of the startup, answering all questions based on the delivered pitch, or inferring an answer if You can't find the appropriate information. All this is with the intention of preparing the founders for specific questions that they may receive at this type of event if they wish to attract and receive funds for their projects. Currently, training to make good pitches for founders is complicated by time, sometimes at a cost that startups in earlier stages cannot, and sometimes not adapted to the types of startups that participate, therefore, Pitch Analyzer is the ideal solution for it.

Consulting Trainer is a platform that, through LangChain and CAMEL, allows you to train your workers, mainly consultants, and auditors, in the interview processes that they have to do with clients when raising requirements. To do this, the user must specify the objective of the interview (project being evaluated), define the role of the person interviewed (stakeholder, client, etc.), and the role that this user will play (consultant, developer, etc.). Next, Consulting Trainer will begin to display a dialog about how the interview process should be so that the user has the ability to understand this process and learn for its subsequent execution. This project aims to make it easier for companies to train their junior professionals, who sometimes, due to conventional teaching methods, are not fully productive, and can now learn through a simulation, closer to reality.

With Synapse Image, you won't need design experience to create all kinds of images for your projects (icons, wallpapers, and posters), just by specifying what you want the image to contain (structure, text, and more), the size of the image, the type of image and how many you want to generate, you will get what you want to simplify your design processes in any field, be it advertising, web or other. Additionally, you will soon be able to store and edit images without having to use any additional software. And to simplify your processes, the business model is based on credits for each action taken, instead of plans that enable or disable functions, you will have everything at hand and you will know at all times how many credits each action costs and how many you have consumed.

Amalia is a service that allows you to organize categories of messages and classify such messages (which can arrive by email, or another messaging service or social network) for those categories, in such a way as to simplify the analysis and prioritization process to respond to the users/customers. Currently, we rely on forms to send a customer service request or communicate with specific messaging channels. Still, there is one for each area of the organization, making it difficult for the user to know who to write to, and if they report to the wrong area, moving the message can make the process more bureaucratic. Amalia reduces all that time by analyzing the content of the message and specifying the category/area of the request received.

⏱️ 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.

🗓️ This will be a week of hacking and fun from 24 February to 3 March 💻 Create innovative new apps with OpenAI's latest AI tools 💡 Learn from top AI professionals ⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app 🐱‍💻 Now is the time to register and let's get started!

🛠️ Build your MVP in 7 days 🤝 Find your team on the platform 📈 Hours of educational context 🦾 Generative AI tools to build with 🏅 Further support for winners

🔥 7 days Hackathon 🦾 The first Stable Diffusion XL hackathon ✨ Even more models available! Use GPT-4, ChatGPT, Whisper, Cohere and AI21 and more! 🛠️ Incorporate Stable Diffusion 2.0 and Vercel software to your projects 🚀 Create your complete product MVP 🤝 Find co-founders and mentors on the lablab.ai platform