BeFaker

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  Player Comparison

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  Player Coaching

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  HomeView - Start

Inspiration

That idea became BeFaker, inspired by one of the most iconic names in League of Legends, Faker — the GOAT. This app help League player to be like him in the Rift

What it does

BeFaker is an AI-powered League of Legends coaching assistant that helps players review their gameplay, understand their strengths and weaknesses, and receive tailored improvement suggestions.

How I built it

Frontend: Built with Next.js and hosted on AWS Amplify, providing a clean UI for players to interact with their AI coach.

Backend: Developed with Flask and deployed via AWS Lambda to handle the API calling

Integration: The frontend communicates with the backend through API Gateway, ensuring smooth and scalable data flow

Challenges I ran into

Doesn't have much experience with AWS, so it takes a lot of time learning new stuff

Accomplishments that we're proud of

Fully Working app at a minimum stage level

What we learned

There's a lot more stuff that we can explore in AWS

What's next for BeFaker

Expand more feature, thinking of real time reply analysis

Submission Note

(the API call in my app may not work in the time of judging cause of RIOT developer key)

Built With

• aws-amplify
• aws-api-gateway
• aws-dynamodb
• aws-lambda
• bedrock
• flask
• github
• javascript
• next.js
• openai-api
• python
• riot-games