LFA

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 Observation Forms Student Management Trend Analysis Authentication Database Integration AI Recommendations Technology Stack Frontend Next.js 15 React TypeScript Tailwind CSS Backend Next.js Server Actions Supabase Deployment Vercel Getting Started Clone Repository Install Dependencies Start Development Server Visit: 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. 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. Author Supreet Kaur Software Development Engineer