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
Technology Readiness Levels
Software Requirements Specifications Overview
Digital Transformation Domain
Project Type
Service Model
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Economic Impact
Social & Environmental Impact
Digital Transformation Domain
Unit Cost
Error: #N/A
Pricing Model
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
Individuals, Corporations/Legal Entities and Government Agencies/State Executive Authorities
INVESTMENT RETURN & SUSTAINABILITY
PRODUCT SUPPORT COSTS
INVESTMENT RETURN
Marketing Communications
Marketing Materials and Resources
License Tiers
Commercial Channels & Digital Marketplaces
Project Media Gallery & Video Demonstrations
Careers Anchor
Executive Roles
Project Biography
My Companies
Career Trek
Career Recognition