Edutwin-AI

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EduTwin AI is an AI-powered Student Digital Twin platform that centralizes academic and extracurricular records, enabling secure profile management, certificate verification, faculty review, and intelligent insights through Machine Learning for student growth and career readiness.

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# 🎓 Edutwin AI
### Centralised Digital-Twin Platform for Student Activity Records & Institutional NAAC Accreditation Forecasting in HEIs

[![React](https://img.shields.io/badge/React-19.2-61DAFB?style=for-the-badge&logo=react&logoColor=black)](https://react.dev/)
[![TypeScript](https://img.shields.io/badge/TypeScript-6.0-3178C6?style=for-the-badge&logo=typescript&logoColor=white)](https://www.typescriptlang.org/)
[![Vite](https://img.shields.io/badge/Vite-8.1-646CFF?style=for-the-badge&logo=vite&logoColor=white)](https://vitejs.dev/)
[![Tailwind CSS](https://img.shields.io/badge/Tailwind_CSS-4.3-06B6D4?style=for-the-badge&logo=tailwindcss&logoColor=white)](https://tailwindcss.com/)
[![Supabase](https://img.shields.io/badge/Supabase-Postgres_&_Auth-3FCF8E?style=for-the-badge&logo=supabase&logoColor=white)](https://supabase.com/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)

<p align="center">
  <b>Transforming higher education administration with AI OCR, predictive ML credit projections, TF-IDF skill density mapping, vector-based career alignment, and automated NAAC institutional CGPA forecasting.</b>
</p>

</div>

---

## 📌 Executive Summary

**Edutwin AI** is an institutional digital-twin ecosystem built specifically for Higher Education Institutions (HEIs). Traditional manual certificate collection and credit auditing workflows suffer from data fragmentation, verification delays, and lack of real-time insights into institutional accreditation standards (such as **NAAC**).

Edutwin AI bridges this gap by deploying an intelligent, multi-role digital platform that standardizes student activity logging, automates faculty credit verification, dynamically maps department-wide skill vectors, and delivers real-time accreditation CGPA forecasting for academic leadership.

---

## ✨ Key Platform Capabilities

### 🤖 1. AI-Powered OCR & Certificate Parser
- Extracts critical activity data directly from uploaded certificates, including **Event Title**, **Category**, **Organizing Body**, and **Date**.
- Generates an **AI Confidence Score (%)** and suggests credit allocation to streamline faculty verification workflows.

### 📈 2. ML Graduation Credit Projector
- Implements linear regression models to analyze individual participation velocity.
- Projects expected credit accumulation by graduation, highlighting students requiring academic intervention or credit acceleration.

### 🧠 3. TF-IDF Departmental Skill Density Engine
- Analyzes unstructured text in verified achievement logs using **TF-IDF (Term Frequency-Inverse Document Frequency)** classification algorithms.
- Dynamically maps department-level core competencies (e.g. *Software Development, Machine Learning, Leadership, Research & Publications*).

### 🎯 4. Cosine Similarity Career Alignment Matcher
- Converts verified student skill profiles into high-dimensional vector representations.
- Evaluates **Cosine Similarity** against industry role matrices to output percentage job readiness and personalized skill gap recommendations.

### 🏆 5. Institutional NAAC Accreditation Forecaster
- Computes institutional CGPA metrics (scaled from **0.00 to 4.00**) in real time based on departmental student participation density and verified co-curricular achievements.
- Provides institutional leadership with actionable data breakdowns across engineering, management, and science departments.

### 🛡️ 6. Multi-Tiered Role-Based Access Control (RBAC)
- Dedicated, secure dashboards customized for three institutional stakeholders:
  - **Students**: Log achievements, track credit progress, run ML projections, and view career match vectors.
  - **Faculty Reviewers**: Audit pending student submissions, review AI confidence ratings, adjust credits, and leave feedback.
  - **System Admins**: Institutional analytics, NAAC CGPA breakdown, departmental metrics, and system-wide audit controls.

### 📄 7. Dynamic NLG Resume & Public PDF Portfolio
- Automatically compiles student achievement records into shareable web portfolios with custom **Natural Language Generation (NLG)** summaries.
- Supports native browser print-to-PDF formatting for institutional submissions and employer sharing.

---

## 🗺️ System Architecture

```mermaid
flowchart TD
    subgraph Client_Layer ["Frontend Application (Vite + React 19 + TypeScript)"]
        UI_Student["Student Dashboard (Log Activities & Run ML)"]
        UI_Faculty["Faculty Reviewer Dashboard (Audit & Allocate Credits)"]
        UI_Admin["Admin NAAC Dashboard (CGPA Analytics & Dept Metrics)"]
        UI_Portfolio["Public Student Portfolio (PDF Generator & NLG Summaries)"]
    end

subgraph Service_Layer ["Services & ML Analytics Engine"]
        OCR["AI OCR Certificate Parser"]
        ML_Proj["ML Credit Projector (Linear Regression)"]
        TFIDF["TF-IDF Skill Density Engine"]
        Cosine["Vector Cosine Similarity Matcher"]
        NAAC_Engine["NAAC Forecaster Engine"]
    end

subgraph Database_Layer ["Backend Infrastructure (Supabase Cloud)"]
        Auth["Supabase Auth (JWT & Role Claims)"]
        DB[("Supabase Postgres DB (Profiles & Activities Tables)")]
        Storage["Supabase Storage Bucket (Certificate Documents)"]
        RLS["Row-Level Security Policies"]
    end

UI_Student --> Auth
    UI_Faculty --> Auth
    UI_Admin --> Auth
    UI_Student --> OCR
    OCR --> Storage
    UI_Student --> ML_Proj
    UI_Student --> Cosine
    UI_Faculty --> DB
    UI_Admin --> NAAC_Engine
    NAAC_Engine --> TFIDF
    DB --- RLS
```

---

## 👥 Role-Based Capabilities Matrix

| Feature / Capability | Student | Faculty Reviewer | Admin |
| :--- | :---: | :---: | :---: |
| Certificate Upload & AI OCR Extraction | ✅ | — | — |
| View Individual Credit Velocity & ML Projection | ✅ | — | — |
| Vector Cosine Career Skill Matcher | ✅ | — | — |
| Audit & Verify Student Submissions | — | ✅ | ✅ |
| Custom Credit Allocation & Feedback | — | ✅ | ✅ |
| Departmental Skill Density Visualizer | — | ✅ | ✅ |
| Institutional NAAC Accreditation CGPA Forecaster | — | — | ✅ |
| Public Portfolio & PDF Resume Export | ✅ | ✅ | ✅ |

---

## 🛠️ Technology Stack

---

## 📂 Project Directory Structure

```text
Edutwin-AI/
├── .env                       # Environment configuration (Supabase keys)
├── .gitignore                 # Excluded dependencies and build artifacts
├── EDUTWIN_AI_PROJECT_REPORT.md # Comprehensive institutional research report
├── EDUTWIN_AI_PROJECT_REPORT.pdf # Full formatted PDF project document
├── README.md                  # Project documentation
├── eslint.config.js           # ESLint linting configuration
├── index.html                 # HTML application shell
├── package.json               # Package dependencies & scripts
├── public/                    # Static assets & public resources
├── src/
│   ├── App.tsx                # Client-side router configuration
│   ├── main.tsx               # Bootstrap & 3D parallax interaction engine
│   ├── index.css              # Custom Tailwind directives & SaaS design tokens
│   ├── assets/                # App image assets & logos
│   ├── components/            # Reusable UI components (Navbar, CustomButton, etc.)
│   ├── lib/                   # Supabase client initialization
│   ├── pages/                 # Role-based page views
│   │   ├── Activities.tsx     # Student Activity Logging & OCR interface
│   │   ├── AdminDashboard.tsx # Institutional Analytics & NAAC Forecaster
│   │   ├── FacultyDashboard.tsx# Faculty Verification & Audit Panel
│   │   ├── Login.tsx          # Authentication login view
│   │   ├── Portfolio.tsx      # Public Student Portfolio & PDF Export
│   │   ├── Profile.tsx        # User profile settings & register metadata
│   │   ├── Register.tsx       # Student & Faculty registration view
│   │   └── StudentDashboard.tsx# Student overview & ML credit predictor
│   ├── services/              # API & database service layer
│   │   ├── activityService.ts # Activity CRUD, metadata serialization & joins
│   │   ├── authService.ts     # User authentication handling
│   │   ├── profileService.ts  # User profile fetching & upserting
│   │   └── storageService.ts  # Certificate document storage uploads
│   └── types/                 # Centralized TypeScript interface definitions
│       └── index.ts           # Core types (Profile, Activity, NAACSummary, etc.)
├── supabase_setup.md          # SQL database schemas, triggers & RLS policies
├── tsconfig.json              # TypeScript compiler configuration
├── vercel.json                # Vercel deployment configuration
└── vite.config.ts             # Vite build & plugin configurations
```

---

## 📦 Quick Start & Local Setup

### 1. Prerequisites
Ensure you have the following installed on your machine:
- **Node.js** (v18.0.0 or higher)
- **npm** (v9.0.0 or higher) or **pnpm** / **yarn**
- A **Supabase** account (Free tier works perfectly)

### 2. Clone the Repository
```bash
git clone https://github.com/Mugilan-md/Edutwin-AI.git
cd Edutwin-AI
```

### 3. Install Dependencies
```bash
npm install
```

### 4. Environment Variables Setup
Create a `.env` file in the project root directory:
```env
VITE_SUPABASE_URL=https://your-supabase-project-id.supabase.co
VITE_SUPABASE_ANON_KEY=your-supabase-anon-public-key
```

### 5. Database Schema Initialization
1. Open your Supabase Project Console.
2. Navigate to the **SQL Editor**.
3. Copy the database setup script from [`supabase_setup.md`](./supabase_setup.md).
4. Run the query to create tables (`profiles`, `activities`), enable **Row Level Security (RLS)**, and apply policies.

### 6. Start Development Server
```bash
npm run dev
```
Open your browser at `http://localhost:5173`.

### 7. Production Build Verification
To compile the TypeScript project and bundle production artifacts:
```bash
npm run build
```

---

## 🔒 Security & Database Policy Design

Edutwin AI enforces security at both the application level and database layer using **Supabase Row Level Security (RLS)**:

- **Profiles Table**:
  - `SELECT`: Public access to view student profiles for portfolio generation.
  - `INSERT` / `UPDATE`: Users can only edit their own profile matching `auth.uid()`.
- **Activities Table**:
  - `SELECT`: Students can view their own activities; Faculty and Admins can view all pending/approved activities.
  - `INSERT`: Students can insert activities bound to `student_id = auth.uid()`.
  - `UPDATE`: Faculty and Admins can update status, credits, and feedback.

---

## 📜 License

Distributed under the **MIT License**. See `LICENSE` for details.

---

<div align="center">
  <sub>Built by ❤️  <b>B . MUGILAN</b></sub>
</div>

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