Inspiration

We use chat apps, such as Whatsapp, Instagram, Telegram to talk to others. This leads to tons of chats and sometimes the ball being dropped as somebody misses something in a chat.

What it does

This application allows users to upload text transcripts from WhatsApp and run conversational analysis on them. It picks up important information that may be needed by a business, such as follow ups, action items, topics and questions.

How we built it

I built this application using Django and python with Bulma for the frontend styling. I integrated it with Symbl.ai for the conversational analysis and Alan for voice commands.

Challenges we ran into

The biggest challenge I had was time I have not completed the application. The following are a few challenges I currently have: I found out that the response objects from the symbl ai conversation aren't JSON serialisable Saving all conversation information in Django is not complete

Accomplishments that we're proud of

I'm proud of getting the application running. I'm proud of getting social login working and Symbl integration done.

What we learned

I learned how to add symbl ai to a Django project.

What's next for WhatChat

I would like to implement the following features: Add more Alan voice commands Upload multiple WhatsApp and Telegram chats Implement new styling in login page Add Facebook, Twitter and Gmail social logins

Built With

• alan
• django
• python
• symblai