https://github.com/pantpujan017/whatsapp_chat_analysis
https://github.com/pantpujan017/whatsapp_chat_analysis
chat-analyzer data-cleaning data-visualization emoji-analysis exploratory-data-analysis nlp pandas python streamlit text-analysis whatsapp-chat whatsapp-data
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/pantpujan017/whatsapp_chat_analysis
- Owner: pantpujan017
- Created: 2025-07-22T09:17:00.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-07-22T09:29:06.000Z (3 months ago)
- Last Synced: 2025-07-22T11:30:47.378Z (3 months ago)
- Topics: chat-analyzer, data-cleaning, data-visualization, emoji-analysis, exploratory-data-analysis, nlp, pandas, python, streamlit, text-analysis, whatsapp-chat, whatsapp-data
- Language: Python
- Homepage:
- Size: 16.6 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 📊 WhatsApp Chat Analyzer
A powerful Streamlit-based web app to analyze WhatsApp group or personal chats with insightful visualizations.
🚀 **[Click here to try the app!](https://whatsappchatanalysis-d2fffjhxkrjudskyyqfh7x.streamlit.app/)**
---
## 🎯 Features
- 📅 Monthly & Daily activity timeline
- 👥 Most active users and message counts
- 💬 Word frequency & common keywords
- 🤩 Emoji usage analysis
- 📎 Media and link sharing stats
- 🔥 Weekly activity heatmap
- 🎨 Clean, interactive dashboard built with Streamlit
---
## 📂 How to Use
1. Export your WhatsApp chat from the app (in `.txt` format).
2. Open the [deployed web app](https://whatsappchatanalysis-d2fffjhxkrjudskyyqfh7x.streamlit.app/).
3. Upload the exported file.
4. Choose a user (or "Overall") to view analytics.
✔️ No need to install anything locally!
---
## 🧠 Tech Stack
- Python 🐍
- Streamlit 🎈
- Pandas & Regex 📊
- Matplotlib 📈
- Emoji 😊
---
---
## 🛠️ Developer Setup (Optional)
If you'd like to run it locally:
```bash
git clone https://github.com/pantpujan017/whatsapp-chat-analyzer.git
cd whatsapp-chat-analyzer
# Create virtual environment (optional)
python -m venv env
source env/bin/activate # or env\Scripts\activate on Windows
# Install dependencies
pip install -r requirements.txt
# Run the app
streamlit run app.py