Inspiration
- We want to see GT win more games ## What it does
- Accumulates data from social media outlets. Then uses data as input for a machine learning algorithm to compose a profile of candidates. These profiles can be search from the main page or filtered on different parameters. ## How we built it
- We started with developing the back-end to hand all the API and search request. This information is store in a database that will then populate the a simple easy to navigate front end. ## Challenges we ran into
- Privacy
- API limits
- Group functionally
- Time ## Accomplishments that we're proud of
- Overall grind of the group
- Passion for learning of my members
- The development of a wonderful idea into what it is now ## What we learned
- IMB's Watson
- Group functionality
- Node.js
- Python scraping
- Project management ## What's next for gtri ### The future is very bright. We have a ton of ideas to still implement into the project to make it the best tool for recruiting.
- We want to work with coaches to find the most important values and qualities they need in a players ### It is important to have an application that is very informative and gives the coaches what they want as far as data
- We want to compose a few different front-end models that we can beta to see which once gives the best information
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