Aleeza Rubab@aliza

Our pioneering app harnesses the power of cutting-edge technologies like Open AI, GPT-4 and advanced text-to-speech algorithms to seamlessly convert static PDFs into immersive audio narratives. Our mission extends beyond mere conversion; we envision expanding features to include multi-language support, natural language processing for enhanced summarization, and integration with e-book platforms. With a commitment to accessibility and innovation, we aim to redefine how individuals engage with textual content, fostering a dynamic and inclusive reading experience. The application is a great use of RAG.

Hello! Welcome to EcoFactor - a chatbot that helps manufacturers select more sustainable and cost-effective materials and processes for their products, ensuring compliance with ESG standards. It offers a significant variety of resources and AI assistants that together provide a set of features oriented towards optimizing manufacturing processes, including product optimization, material replacement, and studying ESG documentation. A distinctive feature of ECOFACTOR is the combined use of autonomous AI assistants, responsible for navigating the internet, locating and filtering relevant information about the user's products and processes, as well as the supplier directory, dynamically and autonomously fed by Ecofactor's virtual assistant.

EcoFactor is transforming the manufacturing industry by leveraging advanced AI technology to enhance sustainability and efficiency. Our platform guides manufacturers in choosing eco-friendly materials and processes, optimizing product development while ensuring compliance with ESG standards. EcoFactor's AI-driven solution seamlessly integrates into existing manufacturing workflows, providing real-time recommendations that help reduce waste and improve profitability without compromising quality. By empowering businesses to adopt sustainable practices, EcoFactor not only meets the increasing demand for environmentally responsible products but also gives manufacturers a competitive edge in the global market.

Hackathons everywhere are helping organizations battle talent scarcity, acquisition, and retention while fueling innovation across domains and functions. With over 250 hackathons hosted annually by Major League Hacking (MLH) alone, engaging 65,000 students worldwide and yielding over 15,000 projects, the demand for efficient hackathon management is growing. The global hackathon management software market is projected to grow at a CAGR from 2020 to 2026, with the Americas region leading the market share from 2016 to 2021. These hackathons are confronted with complex management and assessment problems. Organizers often struggle with task assignments, document management and event coordination, while judges face difficulties in providing timely, fair and consistent feedback. These challenges can impede the smooth execution of the event. Hacksupport.pro is a management platform for organizers and judges as a solution to their problems. Our platform introduces two main tools: JudgeGPT and HostGPT each addressing key pain points in hackathon administration and assessment. JudgeGPT automates the evaluation process, providing fair and consistent feedback through advanced algorithms, ensuring that every project is assessed objectively. HostGPT streamlines administrative tasks, including task assignments, document management, and event coordination, significantly reducing the workload for organizers. Our financial model is designed to target hackathon hosts, online platforms and service providers due to Moli and Tobias’s existing network. We offer subscription, pay-per-event and licensing models to provide flexible and scalable access to our AI-driven tools. Service providers can integrate our tools to manage multiple clients efficiently. Our mission is to make the hackathon process smooth and cost effective with the help of AI.

Using AI models to train AI LLMs for eye blink detection, moods detection and providing users with different ways to cope stress, work life balance, eye health, mental health and much more! We have used Front End, Back End, and AI Technologies like Python, LLM's like Llama 3.1 and more for making sure that we detect eye blink, but that's not all! User can also input image or allow webcam to take live webcam feed or use prompts to talk to AI chatbots about how they feel about their moods, stress and any other thing that they wish to talk about! The AI encourages the user to talk to humans, friends and experts if need be!