Project Overview
High-performance FastAPI microservice exposing scikit-learn and XGBoost models, processing 200K predictions/day.
The Challenge
The client needed a robust, scalable solution for predictaflow ml prediction api service. Existing tools were fragmented or lacked the customisation needed to support their growing business requirements.
Our Solution
Omni Stack delivered a tailored solution using Python, FastAPI, scikit-learn to address every requirement. We followed an agile delivery model with weekly client reviews, ensuring the final product exceeded expectations.
Key Features
- Custom business logic implementation
- Third-party API integrations
- Real-time data processing and analytics
- Responsive, accessible user interface
- Automated testing and CI/CD pipeline
Our Responsibilities
- Solution architecture and technical leadership
- Full-stack development and implementation
- Database design and query optimisation
- Cloud deployment and DevOps automation
- Ongoing maintenance and support
Results & Impact
The solution was delivered on schedule and within budget. The client reported significant improvements in operational efficiency, user satisfaction, and business scalability.