Like.ly


Brief

A TensorFlow implementation that takes in a plethora of variables in order to determine the amount of likes a picture would receive before a user posts it onto Instagram.

• Built an Application that predicts number of likes on Instagram Post
• Messenger Bot and Mobile App built with React Native for the interface.
• Utilized supervised machine learning algorithms to optimize prediction accuracy.
• Modified a web scraper to collect public user data for predictions and utilizedComputer Vision API to analyze post content.

Technologies Used

Python, MongoDB,
React Native, TensorFlow

Platforms (Planned)

Facebook Messenger
React Native App