
3
3
France
1 year of experience
freshly graduated as a statistical engineer and data scientist from the higher school of statistics and information analysis of Tunisia.

Proload is a modern, AI-enhanced social networking platform built specifically for athletes and fitness enthusiasts. It offers a rich set of features that go beyond typical workout trackers or generic social platforms by blending intelligent training recommendations with engaging community tools. The platform allows users to create and share custom workouts, track their fitness progress through detailed dashboards, and connect with like-minded athletes. To power its intelligent features, Proload integrates two AI engines: TinyLlama: a lightweight, locally deployed LLM that provides private, on-device workout suggestions and fitness insights based on user context, goals, and history. Groq API + LLaMA 3.1: a high-speed, cloud-based LLM integration used for generating structured, detailed workout plans from natural language prompts (e.g., "4-day hypertrophy routine for home with dumbbells"). This hybrid AI architecture ensures both performance and privacy: local models handle lightweight inference, while Groqβs LLaMA 3.1 adds depth and sophistication when needed. Built with Next.js and NeonDB, the platform uses a monolithic yet scalable architecture, combining AI-generated content with interactive features such as workout cloning, social posts, reactions, comments, and personalized recommendations. By combining the privacy of TinyLlama with the power of Groqβs LLaMA 3.1, Proload offers an adaptive, motivating, and data-driven experience that empowers users to reach their fitness goals efficiently and intelligently.
8 Jul 2025

AI is really easy good at answering our questions, creating videos and even creating voice models. So many ground breaking tools but they can not understand each other? We are building a AI mediator that can answer your questions and knows how to talk to translate it to other AI tools. Our first use case is a text-To-Education model where you can input a question that runs through vessel generate an answer and translate this to other Ai tools. Vessel is backbone of this new age of AI media.
21 Nov 2022

We are building a Text-to-Video Human avatar generator. It is a pipeline of AI tools that works in 3 Steps: 1. Text-to-Speech (Creating a audio file from text input) 2. Text-to-Video (Creating a video from text input) 3. Text-to-Human (Using deep fake technology to make video less random and merge audio with lips of subject). This is just the beginning of AI media and the next natural steps for AI, it is better then most use cases because you have much more control of the subject who can actually interact with their environment, be trained easier and have movement which opens so many more doors in use cases then other technology out there in the same bracket. We have text-to-text, We have Text-to-video and we have text-to-video, Welcome to Text-To-Human.
14 Nov 2022