souravsuvarna/whatsapp-chat-analyzer-and-visualizer-web-application

The WhatsApp chat analyzer and visualizer uses NLP algorithms to analyze chat data, tracking usage patterns and presenting insights through visually appealing charts and graphs. It helps users understand communication patterns and behaviors on WhatsApp.

WhatsApp-Chat-Analyzer-and-Visualizer-Web-Application

Description:-

Our WhatsApp chat analyzer and visualizer is a specialized tool designed to analyze and visualize data from WhatsApp chat conversations. The chat analyzer component uses natural language processing (NLP) algorithms to can extract and analyze WhatsApp chat data, including text messages, emojis, images & media.

It can also track usage patterns, such as the most active users, the frequency of messages, and the times of day with the most activity.The visualizer component of the tool takes the analyzed WhatsApp chat data and presents it in an interactive and visually appealing format.

It can create charts, graphs, and other visual representations of the data, allowing users to see patterns and trends in the chat data at a glance. This can help users to identify communication patterns. It can also be used by individuals to gain insights into their own communication patterns and behaviors on WhatsApp.

Live Project Link:-

Link:- http://visualizewhatsapp.streamlit.app/

API Documentation:-

The API documentation for the backend code is available . You can find detailed information, usage instructions, and examples in the API Documentation.

This API is open source and hosted on Github

Requirements:-

Python 3.7.9 : https://www.python.org/downloads/release/python-379/

Streamlit : https://docs.streamlit.io/library/get-started/installation

pandas : https://pandas.pydata.org/docs/getting_started/install.html#installing-from-pypi

regex : pip install regex

Chart libraries:

plotly : https://plotly.com/python/getting-started/#installation

altair : pip install altair

seaborn : https://seaborn.pydata.org/installing.html

matplotlib : https://pypi.org/project/matplotlib/

Deployement: https://streamlit.io/cloud

How to Run:

1. Open the project folder in IDE
   

2. In terminal type "streamlit app.py" & hit enter, a local Streamlit server will spin up and your app will open in a new tab in your default web browser.
   

Refer : https://docs.streamlit.io

Interface:-

Project Status:-

We Trained the model with 4 different patterns & working on the same to add more.

Contributers:-

https://github.com/suhasbs2000

References:-

https://github.com/campusx-official

https://github.com/tusharnankani