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Cricket AI Ecosystem Project - Coggle Diagram
Cricket AI Ecosystem Project
Vision
Largest Cricket Analytics Platform
AI-Powered Cricket Intelligence
End-to-End Data + AI + Software + DevOps Project
Phase 1 - Data Collection
Match Data
IPL
ODI
T20I
Test
BBL
PSL
SA20
CPL
The Hundred
Ball-by-Ball Data
Runs
Wickets
Extras
Partnerships
Over Information
Player Data
Batting Statistics
Bowling Statistics
Fielding Statistics
Career Records
Form Analysis
Injury History
Team Data
Playing XI
Captain
Coach
Recent Form
Head-to-Head Records
Venue Data
Stadium
Pitch Type
Boundary Size
Weather
Toss Impact
Phase 2 - Database Engineering
Database Design
Players Table
Teams Table
Matches Table
Deliveries Table
Venues Table
Technologies
PostgreSQL
SQL
Database Normalization
Data Warehouse
Historical Data Storage
Optimized Queries
Analytics Layer
Phase 3 - Data Engineering
ETL Pipeline
Extract
Transform
Load
Data Cleaning
Missing Values
Duplicate Removal
Data Validation
Feature Engineering
Batting Form
Bowling Form
Venue Factors
Team Strength
Player Impact Score
Automation
Scheduled Updates
Data Validation Checks
Phase 4 - Exploratory Data Analysis
Player Analysis
Team Analysis
Venue Analysis
Toss Analysis
Match Trends
Performance Insights
Phase 5 - Machine Learning
Match Winner Prediction
Logistic Regression
Random Forest
XGBoost
Player Performance Prediction
Runs Prediction
Wickets Prediction
Strike Rate Prediction
Fantasy Cricket Prediction
Best XI
Captain Selection
Vice Captain Selection
Tournament Prediction
Qualification Chances
Final Winner Prediction
Phase 6 - Deep Learning
LSTM Models
Match Sequence Prediction
Player Form Prediction
Neural Networks
Advanced Player Ratings
Team Strength Modeling
Simulation Engine
Match Simulations
Tournament Simulations
Phase 7 - Generative AI
Cricket Chatbot
Ask Questions
Explain Statistics
Match Insights
RAG System
Historical Records Search
Player Search
Match Search
AI Analyst
Match Reports
Player Reports
Team Reports
LLM Integration
Natural Language Queries
Interactive Cricket Assistant
Phase 8 - Backend Development
API Development
Player APIs
Team APIs
Match APIs
Prediction APIs
Technologies
FastAPI
Spring Boot
REST APIs
Authentication
Login
Registration
User Roles
Phase 9 - Frontend Development
Dashboard
Live Matches
Predictions
Statistics
Player Pages
Career Stats
Performance Graphs
Team Pages
Squad Information
Team Analytics
Visualizations
Charts
Graphs
Heatmaps
Technologies
HTML
CSS
JavaScript
React
Phase 10 - DevOps
Version Control
Git
GitHub
Containerization
Docker
CI/CD
GitHub Actions
Orchestration
Kubernetes
Monitoring
Prometheus
Grafana
Linux Administration
Phase 11 - Cloud Deployment
AWS
EC2
S3
RDS
Azure
Google Cloud
Production Infrastructure
Load Balancer
Auto Scaling
Security
Advanced Features
Real-Time Match Tracking
Live Win Probability
Fantasy Team Optimizer
Betting Risk Analysis
Player Recommendation Engine
Injury Prediction
Auction Strategy Engine
Scouting Platform
Skills Gained
Python
SQL
Data Engineering
Machine Learning
Deep Learning
Generative AI
Backend Development
Frontend Development
DevOps
Cloud Computing
System Design
Software Engineering
Career Outcome
Internship Ready
Data Engineer
ML Engineer
AI Engineer
Software Engineer
Full Stack Developer
MLOps Engineer
15-25+ LPA Target