Inspiration
I wanted to work something data related and the data from Steam and MTA game into mind first. Then, I decided to stick with Steam and try to find a way to recommend games using ML which is something I am trying to learn.
What it does
This only is able to get the games a user played and their hours at this point of the project.
How we built it
Mainly with python and using the official Steam API and SteamSpy to get user data and the relevant tags of games they played.
Challenges we ran into
Time was a real issue for me as well as trying to find a way to integrate ML and Gemini as this is my first hackathon and first time trying to actually engage in all of these technologies.
Accomplishments that we're proud of
I am still proud of being able to pull the game data of a player we input.
What we learned
Time will go by quick and I should try to practice more so I can be faster at making good code.
What's next for Steam Game Recommender
Most likely a web version of this since this is only a CLI. This project is only 10-20% completed.
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