Dynavera/README.md

# An Agentic Approach to Domain-Specific Trainers

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.

Tentative app name: Dynavera

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## Table of Contents

- [Project Goals](#project-goals)
- [Tech Stack](#tech-stack)
- [Architecture](#architecture)
- [Features](#features)
- [Setup](#setup)
- [Usage](#usage)
- [License](#license)

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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

- **Backend:** [NestJS](https://nestjs.com/)
- **Frontend:** [Vue 3](https://vuejs.org/) + [Vite](https://vitejs.dev/)
- **AI Agents:** Python or JavaScript (TBD)
- **Database:** (TBD)
- **Authentication:** JWT / OAuth2 / Custom Managed

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## 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.

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## Setup

TBC

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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.

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## License

[MIT License](LICENSE)