This innovative project utilizes the power of the Llama 3 model to streamline and enhance the workflow of Business Analysts (BAs) by transforming Excel data through a structured six-step process. The application provides a user-friendly interface where BAs can select specific steps to process and document their data efficiently. Data Preprocessing: This initial step focuses on cleaning, organizing, and preparing raw data from Excel sheets to ensure accuracy and relevance for subsequent analyses. Business Requirement Documents (BRD): The next step involves generating comprehensive BRDs that capture the business needs and objectives, serving as a foundational reference for the entire project. Functional Requirement Document (FRD): The FRD details the functionalities required to meet the business needs, ensuring clear and precise documentation of what the system should do. Use Case Documentation: This step involves creating detailed use cases that describe how users will interact with the system, providing a clear understanding of user requirements and system responses. Data Modeling: Here, the application aids in designing data models that represent the data structures required for the system, ensuring robust and efficient data management. Wireframes and Mockups: The final step involves generating visual representations of the system's interface, helping stakeholders visualize the end product and providing a basis for further design refinements. By automating and integrating these essential BA tasks, the project significantly reduces manual effort and improves the accuracy and consistency of business analysis documentation.
Category tags:An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track
An AI-driven tool that reviews GitHub pull requests in real-time, providing clear and intelligent code feedback using Groq-accelerated LLaMA models and the BLACKBOX.AI Coding Agent.
innoventors-blackbox-track
Flowrish AI helps students think better, not less. It guides reflection instead of giving answers—strengthening minds, not replacing them. Offline-first on Snapdragon X Elite, with LLaMA 3 locally and Groq online. Because learning should grow you.
42AI Qualcomm Track
Amagi is a proactive AI assistant that sees your screen, listens, remembers, and helps you stay focused—designed to run across devices with real-time context awareness
The Monad (AI-Smith Protocol) -Vultr Track
An AI-powered shopping assistant built with FastAPI, Groq API (LLaMA models), and Neo4j knowledge graph for personalized e-commerce experiences
Hackcelerate - Prosus Track
A privacy-focused toolkit for real-time screen OCR and audio transcription on any PC, combining universal image text extraction, audio-to-text, and fast local semantic search—powered by Edge AI and Groq API.
Illuminative Lab - Qualcomm Track