AI Software Development

1. Creating and configuring the application cascade; 2. Building models; 3. Additional training of models; 4. Integration of models into the main software part of the system; 5. Development of an information system for data storage; 6. Development of system logic: development of design solutions represented by a detailed description of automation scenarios for all business processes affected by the implementation of the system; 7. Refinement of API methods; 8. User interface design; 9. Development of the client side of the user interface; 10. App optimization. Search for a compromise solution to optimize key parameters, improve system performance 11. Writing meaningful comments on the product (Git/Jira/BookStack), on which you can create technical documentation (AP) both external (API) and internal.
Technical Architecture
Technology
Tech Platform
Digital Transformation Domain
TR Level
Software Requirements Specifications (SRS) Overview
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry