📚 Beginner Level (4.5 months)
1. Digit Recognition System (Read Blog)
Project Setup
- Setup development environment
- Create GitHub repository
- Setup basic project structure
Core Implementation
- Data preprocessing pipeline
- Basic model implementation (kNN/SVM)
- Neural network implementation
- Model evaluation framework
2. Customer Churn Predictor
Data Preparation
- Data collection
- Exploratory data analysis
- Feature engineering pipeline
Model Development
- Baseline model
- Feature importance analysis
- Model optimization
- SHAP value implementation
Deployment
- API development
- Web service setup
- Documentation and testing
- Performance monitoring
3. News Article Categorizer (Read Blog)
Data Collection
- Data cleaning pipeline
- Text preprocessing
NLP Implementation
- Model selection and training
- Category prediction system
- Performance evaluation
4. Stock Price Trend Analyzer
Data Pipeline
- Data collection system
- Technical indicator calculation
- Data visualization dashboard
Model Development
- Time series preprocessing
- Model implementation
- Backtesting framework
- Performance metrics
Strategy Development
- Trading strategy implementation
- Risk management system
- Performance visualization
- Documentation
🚀 Intermediate Level (3.5 months)
5. Face Mask Detection System
Setup
- Dataset preparation
- CNN architecture design
- Training pipeline setup
Implementation
- Model training
- Real-time detection system
- Performance optimization
- Multiple mask type detection
Integration
- Attendance system integration
- Web interface
- Mobile deployment
- Documentation
6. Chatbot with Personality
Core Development
- Dataset preparation
- Model architecture design
- Training pipeline
- Basic conversation handling
Enhanced Features
- Emotion recognition
- Context management
- Personality implementation
- Response generation
Deployment
- API development
- Web interface
- Testing framework
- Documentation
7. Music Genre Classifier
Audio Processing
- Data collection
- Feature extraction pipeline
- Audio preprocessing
Model Development
- Model architecture design
- Training implementation
- Real-time classification
- Performance optimization
User Interface
- Web interface development
- Real-time visualization
- Custom genre support
- Documentation
🎯 Advanced Level (2 months)
8. Multi-Agent Game AI
Environment Setup
- Game environment development
- Agent architecture design
- Training framework
Core Implementation
- Single agent training
- Multi-agent implementation
- Strategy learning system
- Performance metrics
Enhancement
- Visual interface
- Strategy visualization
- Tournament system
- Documentation
9. AI Art Generator
Basic Implementation
- GAN architecture design
- Training pipeline setup
- Style transfer implementation
Enhanced Features
- Custom style support
- Style mixing interface
- Animation system
- Performance optimization
User Interface
- Web interface development
- Real-time preview
- Export functionality
- Documentation
📊 Progress Tracking
Overall Progress
- Beginner Level (45%) completed
- Intermediate Level (35%) completed
- Advanced Level (20%) completed
Skills Mastery
- Python Programming
- Data Preprocessing
- Machine Learning Fundamentals
- Deep Learning
- Computer Vision
- Natural Language Processing
- Time Series Analysis
- Reinforcement Learning
- System Design
- Project Documentation
Portfolio Development
- GitHub Repository Maintained
- Project Documentation Complete
- Blog Posts Written
- Demo Videos Created
- Research Paper Drafted
🎓 Additional Resources
- Read Essential Papers
- Complete Online Courses
- Participate in AI Communities
- Attend AI Conferences/Webinars
- Contribute to Open Source