AI/ML Integration
Implementing intelligent solutions using cutting-edge AI and machine learning technologies
Tech Stack
TensorFlow
Machine learning framework
PyTorch
AI development platform
scikit-learn
Machine learning library
OpenAI API
AI model integration
Pandas
Data manipulation
Features
- Predictive analytics
- Natural language processing
- Computer vision
- Recommendation systems
- Automated decision making
Development Process
1
Requirements Analysis
Data and model planning
2-3 weeksDeliverables:
- Data strategy
- Model selection
- Success metrics
2
UI/UX Design
AI interface design
2-3 weeksDeliverables:
- User interface
- Interaction flows
- Feedback loops
3
Development
Model development and training
8-12 weeksDeliverables:
- Data pipeline
- Model training
- API integration
4
Testing
Model validation and testing
3-4 weeksDeliverables:
- Accuracy metrics
- Performance testing
- Bias analysis
5
Deployment
Model deployment and monitoring
2-3 weeksDeliverables:
- Production deployment
- Monitoring setup
- Documentation