Lautaro Sarni@Portuno

Deprocast is a revolutionary neuroscience-based productivity application that transforms how individuals approach complex projects by functioning as an Hiper Personalization Context Generator. The platform leverages advanced AI to break down overwhelming tasks into manageable micro-tasks while continuously learning from user behavior, preferences, and productivity patterns to create deeply personalized experiences. Built on cognitive science principles, Deprocast addresses the brain's natural tendency to perceive large projects as threats by generating contextually-aware task sequences tailored to each user's unique working style, energy levels, and cognitive patterns. The AI system analyzes completion data, motivation fluctuations, dopamine responses, and resistance levels to dynamically adjust task recommendations and timing. The platform goes beyond simple task management by creating rich contextual profiles that include optimal working hours, preferred task types, energy management patterns, and breakthrough moment triggers. This hyper-personalization enables the system to predict the best tasks for specific moments, suggest optimal break timing, and provide personalized neuroscience-backed insights that evolve with the user. Key features include intelligent project decomposition, adaptive task scheduling, real-time motivation tracking, personalized productivity insights, Pomodoro integration, and comprehensive analytics that build an increasingly sophisticated understanding of individual productivity DNA.

The idea is to develop a comprehensive and easy to use digital assistant to accompany Human Resources professionals throughout the various stages of the selection and hiring process. Our first feature consists of a comparison tool that evaluates a job description against a specific resume. This tool will generate a synergy score, indicating the degree of match between the candidate's qualifications and the job requirements. Additionally, it will offer detailed, verbose feedback on how well the candidate aligns with the necessary skills, experience, and attributes outlined for the position. We also built a functional website and a dashboard with easy and quick access to all the necessary information for the user.

A AI Artist could use this type of specifically trained models to create a "Style" that could represent whatever the artists needs at the moment. With that, the style could be a "character" in a specific "scenario" and with a personalized "Style". After creating that, the Artist can use the help of this model to recreate that same character in different styles, or add new characters whose Style is well represented as exactly the same as the first one. Its a guidance on image generation, and with that then it could be used in other types of Automated Generated content, like Image-To-Video, in which if an animator has several images with the same style, the animation will be made in harmony. It can also be made for publicity, or game development (having all characters being designed with the same style)

The project's objective in the upcoming iterations is for the agent to be built with the purpose of creating unique "styles" and "themes" based on user requests, being specifically trained for this task. It should be capable of receiving visual input and annotations from the user regarding the content it is generating. Once the desired style is identified, the user can create new concepts using the predefined theme without the need for lengthy prompts that often yield diverse responses. For now, I was only able to create the agent using GPT-3.5 and obtaining low-quality results, but it's functioning correctly. There's a Python-based agent that interacts with the OpenAI API, and a React frontend where the user inputs information and receives responses.

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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!

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