Splock

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  Our Logo

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  Our "Architecture"

Inspiration

There is a robocall plague affecting millions of people every day. With roughly 26.3 billion robocalls made last year in the US, scamming the American people an estimated $905 million a year, we knew that we had to develop a better, smarter solution.

What it does

Splock provides users with the ability to screen and eventually block robocalls through text. When a call is made to your phone from an unknown number, Splock acts as the first touch point to verify whether the caller is an automated caller or a real person. Using machine learning, we train our model to recognize and block calls depending on if the user decides the texted call transcription is either a scam or not.

How we built it

Built off of the Twilio APIs, SQLite, and Heroku. Languages: NodeJS, Python, and SQL.

Challenges we ran into

Identifying use/edge cases, technical issues with APIs and functions.

Accomplishments that we're proud of

Building a possible solution to a real problem that affects real people.

What's next for Splock

Integration with a carrier and phone OS.

Built With

• node.js
• python
• sqlite
• twilio