Inspiration
We don't even realise how we use to talk to others in WhatsApp, and in any group people use to talk to each other, even who using what kind of words, analyse all data in one safe place. That's makes me feel uncomfortable to think that if our most frequently used app to communicate means WhatsApp chat datas are untracked.
What it does
It'll analyse the whole WhatsApp chat data and give some insightful information like- how many messages, who messaging more, weakly and monthly time line, activity heat map, which kind of emojis & words is using multiple time, any user uses which kind of words and emojis etc.
How we built it
Python and pandas for analysis and streamlit for web view
Challenges we ran into
Streamlit always making my app into sleep mode
Accomplishments that we're proud of
WhatsApp is a widely used app for communication between 2 or more people, personally or in group, so it's important to keep track of that data.
What we learned
Python and pandas, using streamlit
What's next for WhatsApp chat analysis
We can add some machine learning algorithms to detect offensive words and prevent any kind of accident or criminal activities
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