MLOps

ChatClarity

Whatsapp Chat Analyzer and Context Based Searching

Here we have created a web application to analyze Whatsapp group chats. The Web application can generate the following statistics from exported group chat (*.txt file)

1. The most used words (in past n number of days).
2. Most Active members (in past n number of days).
3. Anomalies in message counts.
4. Username Based searching.
5. Context Based searching.

It is fully capable of handaling lots of text messages in a very less amount of time. Because we've used traditional ML methods to optimize the text file input into a tabular format using RegEx and Pandas. After we've used Spacy for Named Entity Recognition and stopping words deletion. Then using Flask we've taken query from frontend (Made with React by @ToukirAhmedKhan) and by using KNN we've served the context based searched results.