NEETBro
Mobile-First AI Test-Practice Platform for NEET Aspirants
Mobile-first AI test-practice platform for NEET aspirants, deployed to the Play Store as a PWA. Combines instant post-test analysis, graph-based mistake tracking, and AI-generated mentorship plans on a Dockerised AWS auto-scaling infrastructure.
The Challenge
NEET aspirants had access to mock tests but no intelligent feedback loop. After completing a test, students received raw scores with no insight into which concepts were weakest, how their mistakes clustered, or what to study next.
Our Solution
We shipped a React PWA to the Play Store backed by a Dockerised Django API on AWS ASG. Neo4j tracks mistake edges across the student's full test history; Gemini API generates personalised post-test narratives per cohort batch — all served via CloudFront for low-latency access across India.
Product Screenshots
Landing — NEETBro App
Technical Highlights
AWS ASG automatically provisions new Django containers on traffic spikes — maintaining consistent API latency during peak NEET exam season with zero manual intervention.
Docker + Gunicorn + Nginx containers enable reproducible deployments and zero-downtime rolling updates; no shared mutable state between container instances.
PWA static assets cached at AWS edge nodes globally, minimising first-contentful-paint latency for students across India and offloading origin-server bandwidth.
Neo4j records mistake edges between questions and concepts; a single traversal query identifies root-cause concept gaps across an entire test history.
Gemini API generates personalised post-test narratives; submissions are batched per cohort to prevent rate-limit saturation during concurrent test completions.
React frontend compiled as a PWA via Android Studio build pipeline — native Play Store deployment with no separate React Native codebase to maintain.
System Architecture
End-to-end system architecture — NEETBro on AWS
Tech Stack
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