AI-Powered School Standardization Platform

Overview

Our AI-driven platform aims to streamline school standardization processes by leveraging advanced machine learning, natural language processing, and dynamic resource allocation. This project is designed to support educational policymakers, administrators, and school authorities in restructuring and optimizing their institutions based on best practices.

Key Features

1. AI-Powered School Structure Optimization System

• Analyzes school infrastructure and available resources.
• Suggests optimal grade reconfiguration models for better alignment with standard categories.
• Provides a school standardization score and improvement recommendations.

2. AI-Based Smart Teacher Allocation

• Assesses subject-wise teacher demand for each school.
• Generates automated reports on teacher distribution needs.
• Prioritizes rural development needs for better resource allocation.

3. NLP-Based Stakeholder Feedback Analysis

• Collects feedback from students, teachers, and school administrators.
• Utilizes AI to analyze feedback and generate policy improvement suggestions.
• Provides an intuitive dashboard for administrators to review feedback insights.

4. Progress Monitoring Dashboard

• Tracks schools’ progress in adopting standard structures.
• Identifies bottlenecks and suggests real-time interventions.

5. Interactive Stakeholder Engagement Portal

• Enables discussions, feedback submission, and resource-sharing.
• Provides forums and community support for smooth transition management.

6. Admin-Side Features

• Login for administrators.
• Create & manage schools with credentials.
• Search schools by UDISE ID and view details.
• Add new features to educational schemes as tasks.
• View policy improvement suggestions from AI-based feedback analysis.
• Manage school funding requests based on priority and proof submission.
• Allocate teachers dynamically based on demand and region priorities.
• Automated email feedback collection using Orkes for biweekly insights.

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Tech Stack

We have used the following technologies to build this platform:

• Frontend: Next.js, TypeScript, TailwindCSS, ShadCN UI, React Hook Form
• Backend: NextAuth, OpenAI, MongoDB, Zod
• Email Automation: Orkes

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Installation & Usage

Step 1: Clone the Repository

 git clone https://github.com/rahulkhandait-sde/s3.git
 cd s3

Step 2: Set Up Virtual Environment

We recommend using a virtual environment:

 python -m venv venv
 source venv/bin/activate  # On Mac/Linux
 venv\Scripts\activate     # On Windows

Step 3: Install Dependencies

 pip install -r requirements.txt

Step 4: Run the Flask Server

 python app.py

Step 5: Start the Express Backend

 cd backend
 npm install
 npm start

Step 6: Start the Next.js Frontend

 cd frontend
 npm install
 npm run dev

Step 7: Access the Dashboard

Once all servers are up, visit:

• Admin Panel: http://localhost:3000/admin
• School Dashboard: http://localhost:3000/schools

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How to Use

For Schools

1. Log in to the school dashboard.
2. Enter school infrastructure details in the Standardization Section.
3. Submit details to receive a Standardization Score & Recommendations.
4. Upload teacher availability data to generate teacher demand reports.
5. Provide feedback on policies via the portal.
6. Request funding support with necessary proof for admin review.

For Administrators

1. Log in to the Admin Dashboard.
2. Search schools using UDISE ID to view details.
3. Assign tasks related to educational schemes.
4. Approve or reject funding requests based on verification.
5. Monitor teacher demand reports and allocate resources accordingly.
6. Analyze stakeholder feedback using AI-powered insights.

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Contributing

We welcome contributions! Please follow these steps:

1. Fork the repository.
2. Create a new branch (feature-branch-name).
3. Commit changes and push them to your fork.
4. Create a Pull Request for review.

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License

This project is licensed under the MIT License.