Learning For All

Overview

Millions of children struggle in classrooms not because they lack ability, but because learning challenges are often identified too late.

In many schools, teachers rely on informal observation rather than structured tools to identify students who may need additional support. By the time a student is recognized as struggling, the learning gap has already widened.

The Learning Risk Identification Platform helps teachers proactively identify students who may be at academic risk through structured classroom observations and actionable insights.

Problem Statement

Early learning difficulties frequently go undetected, especially in under-resourced schools where access to psychologists and formal screening tools is limited.

This can lead to:

Repeated academic failure
Reduced confidence and motivation
Delayed interventions
Long-term educational inequality

Teachers need a simple, affordable, and scalable way to identify students who may require additional support before learning gaps become permanent.

Solution

The platform enables teachers to:

Record structured classroom observations
Track student learning indicators
Calculate risk scores
Identify students requiring additional attention
Monitor progress over time
Generate intervention recommendations

The system is designed to support teachers, not replace professional assessment.

Key Features

Teacher Dashboard

Provides a classroom-wide overview of student learning status.

Student Monitoring

Track individual students across multiple learning indicators.

Risk Scoring Engine

Calculates an overall learning risk score based on teacher observations.

Early Intervention Support

Highlights students who may benefit from additional instructional support.

Future AI Insights

Generate:

Learning pattern summaries
Suggested classroom interventions
Parent engagement recommendations

Current MVP

Implemented:

Landing Page
Teacher Dashboard
Student List
Risk Calculation Logic
Next.js Frontend

Upcoming:

Observation Forms
Student Management
Trend Analysis
Authentication
Database Integration
AI Recommendations

Technology Stack

Frontend

Next.js 15
React
TypeScript
Tailwind CSS

Backend (Planned)

Next.js Server Actions
Supabase

AI Layer (Planned)

OpenAI API

Deployment

Vercel

Project Structure

learning-risk-platform
│
├── app
│   ├── dashboard
│   ├── students
│   ├── layout.tsx
│   └── page.tsx
│
├── components
│
├── lib
│   └── risk-engine.ts
│
├── public
│
└── package.json

Getting Started

Clone Repository

git clone https://github.com/Supreetkaur1/learning-risk-platform.git

Install Dependencies

npm install

Start Development Server

npm run dev

Visit:

http://localhost:3000

Risk Assessment Approach

Teachers provide ratings for:

Reading Fluency
Attention
Following Instructions
Writing Skills
Numeracy Skills

These inputs are processed through a weighted scoring model to identify students who may require additional support.

The platform does not diagnose learning disorders and should not be considered a replacement for professional educational or psychological assessment.

Future Roadmap

Phase 1

Observation Forms
Student Profiles
Risk Dashboard

Phase 2

Authentication
Supabase Integration
Historical Tracking

Phase 3

AI-Powered Recommendations
Parent Reports
Teacher Insights

Phase 4

School-Level Analytics
Multi-Classroom Support
District-Level Reporting

Impact

Our goal is to help educators identify learning challenges earlier, intervene sooner, and ensure that every child receives the support they need before learning gaps become barriers to future opportunity.