Marcel Tracz@JuanPablo

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.

Times when you had to do multiple takes while recording your presentation are over! With Vocaly, you can enhance audio and speech quality, use your best voice in all your presentations, get rid of all recorded stuttering and similar defects, and even edit already recorded presentation simply by editing the text! Because of those features, Vocaly provides a solution to those with speech impediments or Tourette syndrome. Our solution will also come in handy for any person who isn't a professional presenter, especially when they present in their non-native language and struggle with pronunciation. Vocaly let's you do all that and even more. To fuel even higher inclusion we also enable our users to add automatic subtitle to their videos and even translate the whole speech in a recorded presentation. You can present in your own language and then translate that to another language like English. Then you can correct all mistakes made by the AI translator to really polish your presentation. Vocaly uses elevenlabs for voice generating and voice cloning, pvleopard library for speech-to-text and openai's GPT-3.5 for imputing punctuation. All of that is presented to a user by using a clean and elegant frontend in React. All in all, we are really proud of how this application turned out. It works well enough, even as a prototype, that we have actually used it for editing our presentation on lablab.

Our project addresses the growing need for a system to monitor and manage the spread of infectious diseases. Using advanced data analysis and a flexible multi-agent framework, it helps track symptoms, detect patterns, and manage outbreaks in real time. Users can easily report symptoms in natural language, allowing for quick assessments, while the system analyzes the data to identify potential outbreak areas and offer personalized advice, such as consulting a doctor or finding nearby medical services. The system supports public health efforts by providing tools to monitor disease trends, visualize data, and guide decision-making. Built with scalability, security, and user-friendliness in mind, it is designed to help health authorities, researchers, and the public respond effectively to health crises.