An Agentic Approach to Role-Specific Trainers - Dynavera

A proof-of-concept platform for automating the induction and support of new hires or team members into a role using AI agents. This project demonstrates a reusable workflow that combines a modern full-stack application with AI-driven guidance and assessment.

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Table of Contents

• Project Goals
• Tech Stack
• Features
• Usage

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Project Goals

The main objectives of this project are:

1. Reusable Workflow – Create a pipeline that can automatically onboard and guide new hires or team members in a specific role.
2. AI Agent Integration – Use intelligent agents to provide guidance, monitor progress, and adapt learning to individual users.
3. Real-World Testing – Evaluate the suitability and effectiveness of the tool in realistic onboarding scenarios.
4. Role Specific Trainers – Support the creation of trainers specialized for different roles, fields, or industries.

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Tech Stack

• Backend: Django
• Frontend: Vue 3 + Vite
• AI Agents: Python-based agents using websockets and potentially LangChain
• APIs: RESTful APIs using Django REST Framework
• Containerization: Docker + Docker Compose
• Database: PostgreSQL
• Websockets: Django Channels
• State Management: Pinia
• Authentication: JWT / OAuth2 / Django

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Features

• Automated onboarding workflow for new hires.
• Role-specific AI training modules.
• Adaptive guidance and personalized learning paths.
• Dashboard for tracking user progress and feedback.
• Modular AI agent integration (Python/JS).

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Usage

1. Navigate to the frontend URL (hosted at https://fyp.viswamedha.com).
2. Register a new user or login.
3. Select the role to train in.
4. Follow the guided AI-assisted onboarding workflow.
5. Track progress and view recommendations on the dashboard.