5
2
AI / Data Engineer
France
1 year of experience
I'm Zakaria Laabsi, specialized in machine learning with a keen interest in quantum computing. Backed by a strong foundation in applied mathematics, I currently work as a AI/ Data Engineer, where I transform data into valuable insights and engage in Python development. Recently, I highlighted "Data Poisoning" at the S3C cybersecurity conference (France). I've delved into the nexus of ML and quantum tech. My goal: synergizing machine learning with quantum computing's transformative potential.
This project aims to create an engaging AI English Tutor, combining the state-of-the-art natural language processing capabilities of OpenAI's GPT-3.5-Turbo model with ElevenLabs's high-quality text-to-speech technology, all presented in an intuitive, accessible Streamlit interface. The tutor offers efficient learning methods to enhance English fluency, correcting users' English sentences and initiating dialogues for practice. Through the OpenAI's model, the tutor generates real-time responses to user queries and provides corrections to improve English skills. It then uses ElevenLabs's technology to generate audio responses, providing auditory reinforcement to the learning experience. The project is implemented as a Streamlit application, providing a web-based front-end that allows users to easily interact with the AI tutor. The application requests English sentences from the user, processes them with GPT-3.5-Turbo, and vocalizes the responses using ElevenLabs's API. Users have the ability to select different voices for the output, enhancing the personalized learning experience. In terms of deployment, the application uses GitHub Actions for CI/CD, allowing for continuous updates and seamless deployment. API keys are securely stored as GitHub Secrets, maintaining the security of sensitive data. Overall, this project serves as a showcase of how AI technologies can be integrated to create a comprehensive learning tool, and how they can be made accessible through intuitive user interfaces.
Microtargeting Solution for Performance & Growth Marketers and Ad Specialists Develop a comprehensive microtargeting solution that leverages data-driven insights to empower performance and growth marketers and ad specialists to create precise and high-converting ad campaigns. Key Features: - User-Defined Product/Topic Input - Dynamic Research & Listening Engine - Database Integration & Insight Extraction - Product detailed, brand guidelines and custom branded graphic input - Ad & Landing Page Generation Tool For the solution we utilized the AI Agents, based on SuperAGI, Langchain, and GPT4 API.
š Generate realistic, captivating speech in a wide range of languages šļø Join an exciting 3-day online hackathon from July 28 - 31 š” Get full mentors support at lablab.ai platform š„ Form Solo or Build Your Team š±āš» Registration ends on July 28th morning, so don't miss out! Sign up Now!
ā 60-hour Hackathon to build AI apps with cutting-edge 3D generative models by OpenAI, Nvidia and Stable Diffusion š” Experiment with Point-e, Sharp-e, GET3D, Stable Diffusion's Dreamfusion š Build a fully functional AI app under the hackathon's tight timeline! š„ Find teammates and get mentor support throughout the event