2 years of experience
MA in UI/UX Design | 42 Paris - Computer Science | AI enthusiast
Co-Founder of Content-Hive
Studying Informatics at Auth in Thessaloniki, love being active, events and meeting new people. Co-Founder of Content-hive.net LabLab.ai's Mentor Volunteer IT member at InfinityGreece and EESTEC Thessaloniki Also active member of ESN AUTH.
Newsboy is an AI technology that parses the data from different news outlets around the world and process them through machine learning so that users can search for news and facts in a disruptive way. The main objective of this project is to democratize the access to information and help fight misinformation, fake news and sensationalism by providing users with a language model that process and analyze the data obtained from the main news outlets in the world and deliver them through a search query that is able to interpret different levels of sentiments and parameters input by the user. - Informed Newsboy: The software will provide an up-to-date and comprehensive summary of the world's news. - Time savings: The software will automate the process of analyzing news articles, saving time and resources compared to manual data processing. - Toxicity & Stereotypes: The software will be able to filter news articles that are classified as negative information in different aspects - Machine Learning: The software will be able to understand the profile of its users and deliver personalized results - Increased insights: The software will provide a comprehensive summary of the news, giving users a broader understanding of current events and trends. - Customized data analysis: Users will have the ability to customize the data analysis process to focus on specific topics or geographic regions. - Data visualization: The software will provide data visualization tools to help users easily interpret and understand the analyzed news data. This will allow users to identify patterns and make informed decisions based on the information presented.
Join us for a hackathon where we will be using OpenAI Whisper to create innovative solutions! Whisper is a neural net that has been trained to approach human level robustness and accuracy for English speech recognition. We will be using this tool to create applications that can transcribe in multiple languages, as well as translate from those languages into English. This will be a great opportunity for you to learn more about speech processing and to create some useful applications!
🗓️ This will be a 7-day virtual hackathon from 13-20 January 💻 Access AI21 Labs' state-of-the-art language models to build innovative applications 🏆 Prizes and awards of up to $9000 API credits + $3500 cash 💡 Meet and learn from AI21 Labs and Lablab experts 👥 Join the community and find your team ✔️ All levels are welcome 📖 AI tutorials and mentors to help you ⭐ Receive a certificate of completion and Wordtune premium for submission 🐱💻 Sign up now! It’s free!
A new text-to-image model called Stable Diffusion is set to change the game once again ⚡️. Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, and image-to-image translations. Join us for a epic stable diffusion makers event 11-13 November 👊