OpenTabML is a chrome extension which predicts the address to be opened in a tab at the current time with the help of Machine Learning algorithms.

To be updated as the project develops

• Javascript (for building the Chrome Extension)
• Python (for implementing Machine Learning algorithm)

• It should collect data about the tabs opened in chrome, as soon as a tab is opened and a new page loads, that information is stored as: DAY-TIME-ADDRESS
• DAY: {'Sunday','Monday','Tuesday','Wednesday','Thursday','Friday','Saturday'}
• TIME: [0:00,24:00) with time step of 15 minutes
• ADDRESS: The current webpage opened in the tab

"We need to find an algorithm which predicts the address to be opened in a tab on a given day, at a given time of day with more than 70% accuracy."

• Chrome Extension should be able to collect data in the above-mentioned format and save it in a CSV file
• Need to encrypt these CSV files, as web history is a private and sensitive information
• These CSV files are decrypted only by the python file implementing the ML algorithm

The idea for this project was proposed by @abhsag24