The project aims to develop an automated documentation generator leveraging a Large Language Model (LLM). The primary objective is to streamline the documentation process for software projects, enhancing efficiency, consistency, and accessibility. By allowing users to upload source code files and metadata, the system breaks down the code into smaller components for detailed analysis. It then uses an LLM to generate tailored documentation for each component, ensuring high-quality, uniform outputs. The generated documentation is compiled, formatted, and styled according to user preferences, making it easier for developers to understand and maintain code. Additionally, the system supports continuous integration, automatically updating documentation with code changes, and incorporates user feedback for iterative improvements. Overall, this solution significantly reduces the manual effort required for documentation, enabling developers to focus more on coding and innovation.

Solution: Our AI-powered travel planner revolutionizes travel by generating tailored plans for booking and exploration for custom traveler profiles. We transform the journey from tedious planning to exciting discovery. Travel profiles with accessibility needs and restrictions. Budget conscious, preference-based travel plan with tailored itineraries. Essential travel information and cultural insights. Information about getting around during the trip. While traditional platforms like TripAdvisor offer reviews, they lack personalization. Our USP lies in AI-driven customization and inclusivity. Unlike Google Trips, we cater to individual needs, from budget and accessibility requirements, dietary restrictions, to map support, setting us apart in the market. Teck Stack: Langflow (Multi-agent Framework) Flutterflow (Front-end/Back-end) Google Cloud (Run Functions) Firebase (Database) https://early-stopping-puv042.flutterflow.app/ https://drive.google.com/drive/u/1/folders/168QN4DBOPYUeiceQ7vdPBgv984NAs6ir