Open srushtikandagal opened 1 month ago
Hey @srushtikandagal
Thank you so much for your submission to the Global Agent Hackathon — we're thrilled to have you participating!
Just a quick reminder that the deadline for submissions is only 2 weeks away.
If you're still building, we’re excited to see what you come up with! And if you’re already done, feel free to share any updates and raise a PR with your final touches before the deadline.
If you have any questions, we’re here to help. Keep going — you’ve got this!
Hey 👋
Just a quick heads-up — only 2 days left until submissions close for the Global Agent Hackathon! The deadline is Sunday EOD, so be sure to wrap up any final touches and raise your PR before then.
If you've already submitted — amazing! And if you're still building, we can't wait to see what you're working on. 🚀
Got any last-minute questions? Feel free to reach out. You're almost there — finish strong! 💪
Project Title Data Insight Platform: AI-Powered Analytics and Document Intelligence Overview of the Idea The Data Insight Platform is an intelligent analytics system that combines real-time data simulation, predictive analytics, and document intelligence. It addresses the need for businesses to make data-driven decisions by providing interactive dashboards, AI-powered document analysis, and predictive insights.
Project Goal The project aims to demonstrate how AI can be leveraged to: Generate and analyze real-time business data Provide predictive insights through machine learning models Enable intelligent document analysis and Q&A through RAG (Retrieval-Augmented Generation) Create an intuitive interface for data visualization and interaction
How It Works User Flow Users land on the main dashboard where they can: Configure data simulation settings View real-time data visualizations Access predictive analytics Users can switch to the Document Q&A tab to: Ask questions about uploaded documents Get AI-powered responses based on document content Users can upload new documents in the Upload Documents tab: Upload PDF documents Extract and process document content Add to the knowledge base for future queries
Core Functionality Data Simulation & Analytics Real-time data generation Interactive dashboards Predictive modeling Multiple simulation types (e.g., retail) Document Intelligence PDF document processing Vector-based document storage RAG-powered Q&A system Document content extraction
User Interface Tab-based navigation Real-time data updates Interactive settings panel Responsive layout Multimodal Elements Text-based document processing Data visualization through charts and graphs Interactive UI elements
Tools Used Frontend & UI Streamlit for web interface Interactive data visualization components Backend & Processing Python for core functionality Joblib for model persistence Custom data generators Vector store for document indexing RAG chatbot implementation
Deployment Vercel for hosting Streamlit for deployment
UI Approach The application features a clean, modern interface with: Three main tabs: Dashboard, Document Q&A, and Upload Documents Sidebar for simulation settings and controls Real-time data visualization panels Chat interface for document Q&A Document upload interface with progress indicators
Team Information Team Lead: https://github.com/srushtikandagal Background/Experience: working as AI Engineer ,pursuing pga in data science.
Prize Category [x] Best use of Agno (for AI-powered analytics) [ ] Best use of Firecrawl [ ] Best use of Mem0 [ ] Best use of Graphlit [ ] Best use of Browser Use [x] Best Overall Project
Demo Video Link [To be added after completion]
Additional Notes The project demonstrates a practical implementation of: Real-time data processing and visualization AI-powered document analysis Predictive analytics Modern web application development Integration of multiple AI and data processing tools The system is designed to be scalable and can be extended to support: Additional data simulation types More advanced predictive models Enhanced document processing capabilities Custom visualization components Integration with external data sources