Notaholic

Inspiration

There's already an amazing speech-to-text app called Otter that I recently discovered and really enjoyed. We want to make that better by bringing it to a lecture setting and encouraging participation of students by a gamified system that incentivizes users to submit questions and share their key takeaways to the class in an easy and fun manner.

What it does

Features include:

• Filler word analysis
• Summarizer (using BERT)
• Topic modeller
• Summary keywords

How I built it

Used Flask as the backend, SQL Alchemy as the database, CSS + HTML for the stack, and we

Challenges I ran into

Deploying took a lot to figure out.

Also in terms of the database, I am familiar with SQL but am not so much as familiar how to connect it with a whole full stack web application. I ended up using Flask SQL Alchemy and learned ORM from scratch, but matching it with Heroku, AWS, and Jetbrains.

Accomplishments that I'm proud of

I think our app idea is very well throughout out and our UI is fun and appealing, which is exactly what we are going for. This is a tool that I would (and many people around me) use and get a lot of value from!

What I learned

I learned how to work with databases and integrate it with Python well. I learned about efficiently working as a team and git-workflows. And I learned about the importance of striving for a minimum viable product.

What's next for Notaholic

Finish the app and market it. I am confident that if our team had another 24 hours, we could finish it and do well! We will definitely continue with this product and believe in the value it provides.

Built With

• bert-summarizer
• cpanel
• css
• flask
• google-text-to-speech-api
• html
• python
• sqlalchemy