ExplainAnything-AI / README.md
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metadata
title: ExplainAnything.AI
emoji: πŸ“š
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.20.0
app_file: app.py
pinned: true

ExplainAnything.AI

Track: agent-demo-track

ExplainAnything.AI is a multimodal agent that helps users understand any science topic β€” either by asking a question or uploading an image or PDF. It then builds an interactive explainer package with:

  • 🧠 Easy-to-understand explanation (via Mistral)
  • πŸ–ΌοΈ Auto-generated visual diagram (via Flux)
  • ❓ Quiz questions to test understanding (via Mistral)
  • πŸ“„ Downloadable report summarizing everything

πŸš€ How It Works

You have two options to get started:

  1. Ask a question, e.g. "How do solar panels work?"
  2. Upload an image or PDF, like a diagram or worksheet.

The agent then:

  • Uses Gemini Vision (for image/PDF) or your question as input
  • Generates an explanation using Mistral
  • Creates a visual diagram with Flux
  • Generates quiz questions using Mistral
  • Compiles everything into a downloadable learning report

🚧 Build Status

This Space is currently building, but all logic, tools, and functionality were submitted before the deadline.


πŸŽ₯ Video Overview

Video Overview: [Coming Soon – will be added post-deadline]

A short walkthrough of the app’s flow and learning experience will be uploaded here.


πŸ› οΈ Tech Stack

  • Mistral – for science explanations + quiz generation
  • Flux – for diagram/image generation
  • Gemini Vision – for reading image and PDF content
  • Gradio – chat + upload interface
  • Manual orchestration (no MCP yet)

πŸ“˜ Use Cases

  • πŸ§‘β€πŸŽ“ Students learning STEM with visual + interactive help
  • πŸ‘©β€πŸ« Teachers turning textbook pages into visual lessons
  • 🧠 Self-learners asking "why/how" questions and getting full reports

🧠 Future Plans

  • Integrate Hugging Face MCP for agent orchestration
  • Add TTS narration for accessibility
  • Generate downloadable PDF learning packs