Apppublic

mshaheena/AI-Powered_Multi-Modal_Business_Intelligence_Assistant

sourceHugging Facemitupdated 1y agoView on Hugging Face

0likes

App README

📊 AI-Powered Multi-Modal Business Intelligence Assistant

Tagline: “Combining data science, machine learning, and real-time insights from structured & unstructured data.”

🚀 Overview

This AI-powered assistant lets you:

—📂 Upload structured data (CSV, Excel)
—📄 Upload unstructured documents (PDF reports)
—💬 Ask natural language questions
—📊 Get instant insights & predictions with business-ready summaries

Example:

Q: Summarize the PDF and calculate the total revenue from Product C. A: 💡 Product C generated $5,000 in revenue this month. The PDF confirms total company revenue exceeded $10,000, meaning Product C contributed about 50% of total sales.

📦 Features

—✅ Multi-modal: Works with both CSV & PDF together
—✅ Direct business answers: Short, numeric, actionable
—✅ Automatic merging of structured & unstructured insights
—✅ Lightweight, fast model for deployment (flan-t5-small)
—✅ Hugging Face Spaces ready with cache fixes

🛠 Installation (Local)

bash

git clone https://github.com/yourusername/bi-assistant.git
cd bi-assistant
pip install -r requirements.txt
python app.py


🧠 Tech Stack

Python (Pandas, pdfplumber)

Transformers (flan-t5-small)

Gradio (UI)

Hugging Face Spaces (Deployment)

📜 License

MIT License

🌐 Running on Hugging Face Spaces

This project is configured to run directly on Hugging Face Spaces with Gradio UI.

Steps:

Create a new Space on Hugging Face

Select Gradio as SDK

Upload:

     app.py

     bi_utils.py

     requirements.txt

     Deploy 🚀

✨ Author

Mallela Shaheena

LinkedIn | Portfolio Website

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference