README.md

---
title: ContextDB 🤝 Justcall
emoji: 🎯
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.47.0
app_file: app.py
pinned: false
license: mit
short_description: AI-powered conversation analysis with insights and summaries
---

# 🎯 Conversation Analysis Dashboard

An AI-powered dashboard for analyzing customer conversations with intelligent insights, summaries, and follow-up email generation.

## Features

- **📊 Conversation Analysis**: View and analyze customer conversations with quality scores and sentiment analysis
- **💡 AI Insights**: Get marketing insights and key findings from conversations
- **📧 Follow-up Emails**: Generate contextual follow-up emails based on conversation analysis
- **🔍 Smart Filtering**: Filter conversations by quality score, sentiment, and search terms
- **📈 Real-time Updates**: Dynamic table updates with conversation details

## How to Use

1. **View Conversations**: Browse through analyzed conversations in the main table
2. **Filter Data**: Use the quality score slider, sentiment dropdown, and search box to filter conversations
3. **View Details**: Click on any conversation row to see detailed analysis including:
   - Contextual summary
   - Marketing insights with quotes and sentiment
   - Generated follow-up email
4. **Refresh Data**: Use the refresh button to reload the latest conversation data

## Technology Stack

- **Frontend**: Gradio for interactive UI
- **Backend**: Python with MongoDB for data storage
- **AI**: OpenAI GPT models for conversation analysis
- **Database**: MongoDB Atlas for conversation and RAG data storage

## Data Sources

The dashboard analyzes conversations from MongoDB collections:
- `test_intercom_data`: Main conversation data with analysis results
- `rag_intercom`: RAG index for semantic search and context retrieval

## Getting Started

The app will automatically connect to the configured MongoDB instance and load conversation data. No additional setup required!