Customised README and project name

README.md

@@ -1,4 +1,75 @@
+# An Agentic Approach to Domain-Specific Trainers
 
-# 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.
 
-The key things to "prove" are to create a reusable workflow with AI agents, capable of automating the induction and support of a new hire/new team member into a role/field and also to test the suitability of this tool within a real world scenario.
+Tentative app name: Dynavera
+
+---
+
+## Table of Contents
+
+* [Project Goals](#project-goals)
+* [Tech Stack](#tech-stack)
+* [Architecture](#architecture)
+* [Features](#features)
+* [Setup](#setup)
+* [Usage](#usage)
+* [Future Work](#future-work)
+* [License](#license)
+
+---
+
+## 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.
+
+---
+
+## 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
+
+---
+
+## 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.
+
+---
+
+## Setup
+
+TBC
+
+---
+
+## 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.
+
+---
+
+
+---
+
+## License
+
+[MIT License](LICENSE)

package-lock.json

@@ -1,11 +1,11 @@
 {
-  "name": "@api/source",
+  "name": "dynavera",
   "version": "0.0.0",
   "lockfileVersion": 3,
   "requires": true,
   "packages": {
     "": {
-      "name": "@api/source",
+      "name": "dynavera",
       "version": "0.0.0",
       "license": "MIT",
       "dependencies": {

package.json

@@ -1,6 +1,6 @@
 {
-  "name": "@api/source",
-  "version": "0.0.0",
+  "name": "dynavera",
+  "version": "1.0.0",
   "license": "MIT",
   "scripts": {
     "start:api": "nx serve apps/api",