$ cat project.txt
ESB — eSports Bull / Ebisu
Comprehensive eSports streaming & betting platform with Watch-to-Earn mechanics, AI-powered multi-agent customer support (6 specialized agents via LangGraph), and multi-brand domain support.
$ ls -la project/
To create an AI-driven bot capable of predicting game outcomes in TFT by analyzing extensive gameplay data
The Challenge
In today's fast-paced digital landscape, businesses need robust, scalable solutions that can adapt to changing requirements while maintaining high performance and security standards.
Our Solution
Utilizing machine learning algorithms to process and interpret in-game events, player strategies, and historical match data to forecast potential results
Key Features
Technical Architecture
Frontend
- framework: Vue.js
- stateManagement: Pinia
- styling: Tailwind CSS
- testing: Vue.js Testing Library
Backend
- runtime: Ruby, Python
- framework: Rails
- database: MySQL
- caching: Redis
Deployment
- hosting: AWS
- ci_cd: GitHub Actions
- monitoring: CloudWatch
Results & Impact
50% reduction in page load time
AI model has achieved a precision rate of over 80%
25% increase in user engagement
Optimized Data Processing
Gallery