Wojciech Maciejewski@Laszer

storytime.ai is a innovative, creative application of stable diffusion model (dreamstudio.ai) paired with transformer model(cohere.ai). We leverage powerful features of those models in attempt to solve vital problem: storytelling. It's important to recognize crucial drive of humans to create stories. Now, with help of artificial intelligence our stories could get even more creative and picturesque. Think of all the possible aplications of on-demand stories generator. Batteries (and stylish ilustrations) included! Our solution allows parents to tell brand-new fairy tales to their children. Writters, marketing specialists, basically any proffesion or bussines that deals with creating stories would also benefit from storytime.ai

Personal Elf is an AI-driven application for recommending gifts. Have you ever struggled with choosing the most suitable gift for one of your close ones? Don't worry, from now on your Personal Elf has your back! This application is driven by OpenAI's models. We used GPT-like transformer-based DaVinci model for generating gifts proposals and then visualized proposed gifts with diffusion model called DALL-E 2. We created a demo using streamlit that was also deployed using their service. We highly value inclusivity, therefore we designed our solution to be convenient also for other occasions, such as birthdays, anniversaries or hanukkah. Such flexibility allows us to make our product more accessible to users and it can be advertised accordingly during the year. While building our userbase and being able to drift afloat thanks to adverts, we want to get into partnerships with various online shops. We believe we can provide them with a great advertisement by integrating their shops into our application and recommending the users to buy on our partners' sites.

Writing scientific articles goes brrrrrr... with our newest copilot application for LaTeX called LatexAI. LatexAI is powered by Google's PaLM and is focusing on helping the writing process of technical and scientific articles. During ideation we have identified 3 core functionalities that could help our users boost both effectiveness and efficiency of their work. Those functionalities are: 1. Autocompletion working both for natural language (text) and LaTeX syntax. 2. Suggestions for citations and assistance in creating a bibliography. 3. Conducting a comprehensive review of the paper. We believe that by providing and improving those 3 functionalities we can provide a lot of value to our users. There is also a lot of things planned for further development but what we want to focus on is rolling our product as beta and acquiring users' feedback as soon as possible. Then our further development will be driven by addressing our users' feedback.