2.1 KiB
2.1 KiB
An Agentic Approach to Domain-Specific Trainers - Dynavera
A proof-of-concept platform for automating the induction and support of new hires or team members into a role or domain using AI agents. This project demonstrates a reusable workflow that combines a modern full-stack application with AI-driven guidance and assessment.
Table of Contents
Project Goals
The main objectives of this project are:
- Reusable Workflow – Create a pipeline that can automatically onboard and guide new hires or team members in a specific domain.
- AI Agent Integration – Use intelligent agents to provide guidance, monitor progress, and adapt learning to individual users.
- Real-World Testing – Evaluate the suitability and effectiveness of the tool in realistic onboarding scenarios.
- Domain Specific Trainers – Support the creation of trainers specialized for different roles, fields, or industries.
Tech Stack
- Backend: Django
- Frontend: Vue 3 + Vite
- AI Agents: Python-based agents (TBD)
- Containerization: Docker + Docker Compose
- Database: (TBD)
- Authentication: JWT / OAuth2 / Custom Managed (TBD)
Architecture
See ARCHITECTURE.md for a detailed system overview, component interaction, execution flow, and data flow diagrams.
Features
- Automated onboarding workflow for new hires.
- Role/domain-specific AI training modules.
- Adaptive guidance and personalized learning paths.
- Dashboard for tracking user progress and feedback.
- Modular AI agent integration (Python/JS).
- Extensible to multiple domains and roles.
Usage
- Navigate to the frontend URL (hosted at
https://project.viswamedha.com). - Register a new user or login.
- Select the role/domain to train in.
- Follow the guided AI-assisted onboarding workflow.
- Track progress and view recommendations on the dashboard.