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# An Agentic Approach to Domain-Specific Trainers - Dynavera
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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.
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## Table of Contents
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- [Project Goals ](#project-goals )
- [Tech Stack ](#tech-stack )
- [Features ](#features )
- [Usage ](#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 domain.
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. **Domain Specific Trainers** – Support the creation of trainers specialized for different roles, fields, or industries.
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## Tech Stack
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- **Backend:** [Django ](https://www.djangoproject.com/ )
- **Frontend:** [Vue 3 ](https://vuejs.org/ ) + [Vite ](https://vitejs.dev/ )
- **AI Agents:** Python-based agents (TBD)
- **Containerization:** Docker + Docker Compose
- **Database:** (TBD)
- **Authentication:** JWT / OAuth2 / Custom Managed (TBD)
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## Architecture
See [ARCHITECTURE.md ](./ARCHITECTURE.md ) for a detailed system overview, component interaction, execution flow, and data flow diagrams.
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## Features
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- 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.
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## Usage
1. Navigate to the frontend URL (hosted at `https://project.viswamedha.com` ).
2. Register a new user or login.
3. Select the role/domain to train in.
4. Follow the guided AI-assisted onboarding workflow.
5. Track progress and view recommendations on the dashboard.