Muhammad Ibrahim Qasmi@qasmi92

"DataVue" is a groundbreaking data science platform that aims to transform how we learn, understand, and apply data science. Developed by Team Synaptic Synergy , this revolutionary ecosystem seamlessly integrates cutting-edge AI technology with intuitive design to democratize data science education and empower the next generation of data professionals. Key features of DataVue include: 1. AI-Powered EDA: An intelligent analysis engine that uncovers hidden patterns in data. 2. Dynamic Visualizations: Tools to transform raw data into compelling visual stories. 3. 24/7 AI Assistant: A personal data science mentor available round-the-clock. 4. Smart Data Cleaning: AI-driven tools for effortless data preparation. 5. Adaptive Learning Paths: Personalized courses that evolve with users' skills. 6. Real-time Collaboration: Seamless teamwork capabilities for data projects. 7. Enterprise-Grade Security: Ensuring top-notch data safety. DataVue is designed to cater to a wide range of users, from beginners to experienced data scientists. The platform emphasizes community-driven development and welcomes contributions from developers, data enthusiasts, and innovators.

EduNexus is a cutting-edge AI-powered platform that brings together key academic tools into one integrated solution, offering personalized support tailored to each student’s needs. Using IBM watsonx.ai’s advanced generative AI, EduNexus provides a range of features designed to enhance the educational experience: • Personalized Learning Materials: EduNexus customizes content based on a student’s learning style and progress, ensuring that each student receives material suited to their individual needs. • Real-Time Coding Assistance: The platform offers immediate feedback on coding tasks, helps debug code, and explains complex coding concepts, making programming easier to understand. • Document Summarization: EduNexus uses AI to create concise summaries of textbooks and academic papers, helping students grasp essential information quickly and efficiently. • Interactive Study Planning: It generates personalized study schedules that adapt as students progress, helping them manage their time and workload effectively. • Custom Study Resources: The platform creates practice exams and revision materials tailored to a student’s current knowledge and learning needs. Powered by the Granite-3b-code-base model, EduNexus uses few-shot learning to adapt dynamically, providing relevant and high-quality content with minimal input. This approach ensures a seamless and efficient learning experience. EduNexus aims to transform education by boosting student engagement and easing educators' workloads, with plans for future expansion to further enhance its impact on the global education landscape.

Period Care is a holistic health platform designed to support individuals throughout their entire menstrual cycle, not just during their period. Our app offers personalized health insights, food recommendations, and emotional well-being tips tailored to each phase of the cycle. Users can track their periods, mood swings, and sleep patterns, helping them better understand their bodies. Additionally, the app provides easy access to nearby stores for purchasing pills or pads and allows users to book appointments with gynecologists. By focusing on both menstrual and non-menstrual phases, Period Care empowers users to take control of their health and well-being year-round.

Today’s litigators are expected to quickly make well-informed decisions and develop strong strategies and a big-picture perspective. To accomplish these goals in shorter time frames, we present Legal Buddy to streamline the document review and analysis process. Legal Buddy gives attorneys more time for strategic planning by providing a report with an overview of the case, a liability analysis, a case analysis, applicable laws and defenses, damages, and recommendations for the case. The attorney (user) can upload medical records or summaries, witness statements, deposition transcripts or summaries, pleadings, and other legal documents, notes, or summaries and the system will use Upstage's Document OCR to extract text from the documents. Then, the Llama model summarizes all the text and the text is given to the OpenAI's o1 LLM to generate a liability analysis and report. Additionally, we stored a data set of U.S. case law on MongoDB using LlamaIndex and enabled a vector search to find the relevant cases for the case analysis feature. The system matches information from our specific case from the uploaded documents with other cases from the data set of U.S. case law. OpenAI's o1 reasoning is used to generate case analysis and the case analysis is included in the report. There is currently a resource limit on the length of the documents that can be uploaded and the amount of cases that can be stored, so for now we are uploading summaries of legal documents instead of the actual documents and the data set we are storing is a sub-set (about 500 cases) of the entire U.S. case law data set. We would like to have more processing and storage functionality, but that just wasn't feasible for this hackathon. For the future, we would like the user to interact with live data from a data source (i.e. Westlaw, LexisNexis) instead of a data set. We would also like the user to query case information through a chat interface.

TeleGuide is an advanced AI assistant specifically designed for the telecommunications industry. Built on cutting-edge AI models like Llama 3.2, TeleGuide helps users efficiently handle various telecom-related tasks. Whether it’s analyzing regulatory documents, contracts, or customer inquiries, the app delivers detailed insights and actionable data. TeleGuide goes beyond text-based queries by offering image analysis as well. Users can upload satellite imagery or equipment photos for inspection and get a comprehensive analysis, all integrated with TelecomAI for enhanced accuracy and speed. With TeleGuide, telecom professionals have a versatile tool to streamline their work, making data processing and interpretation more efficient than ever.

Government websites serve as sources of information and services related to public affairs, playing an essential role in connecting citizens with government institutions, but they are notorious for their complexity and lack of user-friendly design. The vast amount of information available on these sites can make it incredibly difficult to find what you're looking for. We created GovEase to make navigating government websites easier for users. All the user has to do to use GovEase is choose a language, choose a country, and input the government service or benefit they are looking for. The system will then find the documents and information that are responsive to the user's inquiry. GovEase can be used by native English speakers and people with limited English proficiency who speak Spanish, Hindi, French, Urdu, or German, because the results can be translated into one of these languages. GovEase searches any country's government websites to find government documents and information with ease. The tech stack we used for our project is Llama 3.2 (LLM), Browserless, Groq, Streamlit, Python, and LangDetect. Browserless does a search on Google based on the user's query. The search finds the top websites and gets the document links which is then given to LLama 3.2 which structuralizes the search results (output and links). LangDetect is a library that detects the language that the user wants and translates the results into the language the user wants. We are using Llama 3.2 from the Groq API key as the hosting platform and the front end deployment is hosted by Streamlit.