Inspiration:
The issue of collaboration that all of us faced during our professional experiences while working in global teams
What it does:
Leverages unsupervised machine learning to form an efficient team based on the project requirements
How we built it:
Clustered groups of professionals based on skills, wage, location, and proficiency with the help of K means clustering, an unsupervised machine learning algorithm. Used flask to develop the API and formed a user-friendly UI using HTML and Bootstrap
Challenges we ran into:
Narrowing down on a problem to solve Building an apt dataset, identifying an algorithm to provide efficient result
Accomplishments that we're proud of:
Working as a productive team
What we learned:
How to approach a problem by breaking it down to multiple small steps
What's next for Squadron:
Optimizing our algorithm for refined results, deploy our project using cloud instances for better processing speed
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