AI Training Platform
Smarter Staff Training with AI
An application with admin and staff panels that uses AI-generated questions based on uploaded files and prompts.
AI-powered
Tests Generated
Reduced
Training Time
2 Panels
User Roles
Automated
Content Processing
Project Overview
Project overview Staff testing and learning application
Custom application providing role-based dashboards for admin and staff to manage and complete knowledge tests aligned with their positions.
AI generates test questions automatically from files uploaded by administrators, helping staff learn business products, rules, and concepts.
The system supports file management, AI processing, and structured navigation for a streamlined user experience.
INDUSTRY
AI / HR Tech
PLATFORM
Mobile / Cloud
YEAR
2026
The Challenge
Challenges faced
Main problems before the solution
Difficulty building a dual dashboard application with AI integration supporting file uploads and role-based access control. Performance and scaling were concerns.
01
File upload management
Handling file uploads efficiently and securely within the system.
02
AI integration
Implementing AI processing of uploaded content to generate relevant test questions.
03
Performance issues
Ensuring asynchronous processing runs efficiently without slowing the system.
04
Role-based access
Separating user and admin functions through secure role-based authentication.
Product Experience
Product experience
User interface and workflow
Users log in to their role-specific dashboards, access assigned tests, complete and submit them, and receive results within the app.
Mobile app
Dashboards for users and admins
Live System
Active Tasks
2,847
AI Models
24
Data Streams
156
Success Rate
99.7%
User login and authentication
Secure role-based access for staff and administrators.
File upload and management
Admins upload content files that AI processes into test questions.
Test assignment and completion
Users complete assigned tests and submit answers for evaluation.
Core Features
Core product features
Key capabilities
The application provides role-based authentication, separate dashboards, file upload and AI processing, structured navigation, and admin tools.
Role-based authentication
Secure access with separate permissions for users and admins.
Dual dashboards
Distinct user and admin interfaces tailored to their tasks.
AI-powered file processing
Automated generation of test questions from admin-uploaded files using Vercel AI SDK.
File upload and management
Ability for admins to upload and manage content files.
Structured navigation
Organized routing and navigation enabled by Expo Router.
Admin content controls
Tools for administrators to assign tests, manage users, and review results.
Our Approach
Our approach
Workstreams
Focused on component development, AI integration, performance optimization, and user interface design.
01
AI Content Generation
Implemented AI-powered logic to generate test questions from uploaded materials, reducing manual work and improving training efficiency.
Deliverables
AI-based question generation
File-to-content processing
Prompt-based customization
Automated content creation
02
Role-Based Architecture
Designed separate user and admin experiences to manage training, assign tests, and control access across the platform.
Deliverables
Role-based authentication
User & admin dashboards
Access control logic
Test assignment system
03
Scalable System Design
Built a flexible backend and data structure to support file processing, async workflows, and growing user activity.
Deliverables
NestJS backend architecture
Async processing workflows
File upload & storage handling
Performance optimization
Development Timeline
Development timeline
Project phases
Five month project execution with exploration, implementation, and deployment.
Phase 1
Discovery & Planning
Defined product requirements and user roles (staff & admin).
Designed database structure and system architecture.
Selected tech stack and AI integration approach.
Phase 2
Backend & AI Integration
Built backend services with NestJS.
Implemented file upload handling and storage.
Integrated Vercel AI SDK for content generation.
Phase 3
Frontend Development
Developed mobile UI using React Native and Expo.
Built user and admin dashboards.
Implemented navigation and role-based access.
Phase 4
Optimization & Testing
Improved performance of async processing and AI workflows.
Fixed bugs and optimized user experience.
Ensured stability across different use cases.
Phase 5
Deployment & Delivery
Finalized product features and workflows.
Deployed the application for client use.
Delivered a fully functional AI-powered training system.
Technical Architecture
Technical architecture
System design
Mobile Application
React Native + Expo app for staff users and admins.
Expo Router Navigation
Structured routing for separate user and admin flows.
User Dashboard
Allows staff to access assigned tests, complete quizzes, and view results.
Admin Dashboard
Allows admins to manage users, upload materials, generate tests, and assign content.
Role-Based Access
Separates permissions and functionality between staff and admins.
NestJS API
Handles authentication, business logic, file handling, test management, and results.
AI Processing Module
Uses Vercel AI SDK to process uploaded files and generate knowledge test questions.
Async Processing
Manages file-based workflows and AI responses without blocking user actions.
PostgreSQL Database
Stores users, roles, tests, questions, assignments, and results.
File Upload Storage
Manages uploaded training materials used for AI-generated questions.
Results & Progress Tracking
Keeps submitted answers, scores, and staff training progress.
Microservices architecture
Separates concerns and supports scaling components independently
AI processing module
Processes uploaded files asynchronously to generate relevant questions
Team & Collaboration
Team collaboration
Roles and workflow
Two person team working under Scrum and Kanban methods to develop frontend and backend iteratively.
Frontend Developer
Built mobile app UX/UI, dashboards, and navigation
Full-Stack Developer
Implemented backend API, AI integration, and database models
Iterative development
Used Scrum and Kanban to manage tasks and progress
Focus on roles
Clear separation of frontend and backend responsibilities
Project Facts
Product Type
AI Training Platform
Industry
AI / HR Tech
Platform
Mobile / Cloud
Users
Staff & Administrators
Technology Stack
Technology stack
Tools and services
Selected technologies that support a mobile-first application with backend AI capabilities and scalable infrastructure.
Mobile Frontend
React Native (Expo)
Framework
Expo Router
Navigation
TypeScript
Language
Backend & API
NestJS
Backend Framework
REST API
Communication Layer
Role-Based Access
Authorization Logic
AI & Data Processing
Vercel AI SDK
AI Integration
File Processing
Content Handling
Async Workflows
Background Processing
Database & Storage
PostgreSQL
Database
File Upload Storage
Document Handling
User & Test Data
Persistence Layer
Impact & Results
Impact and results
Outcomes from the project
Delivered an application improving staff knowledge testing through automation and streamlined workflows.
AI-Powered Testing
Automatically generates test questions from business documents uploaded by admins.
Role-Based Dashboards
Separate views for users and admins support efficient task management and secure access.
Scalable Design
Microservices architecture allows system expansion as user base grows.
Improved UX
Organized navigation and responsive frontends enhance end-user experience.
Key outcomes
Increased scalability
Improved user experience
Reduced manual test creation workload
The platform made staff training easier to manage by automating test creation from uploaded materials. It helped reduce manual work, organize learning content, and provide a clearer workflow for both admins and employees.
Ithan Stanler
Operations Team
Restaurant Staff Knowledge Test
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