AI ML Progress Tracker
AI ML Progress Tracker
Private Multi-User AI/ML Learning Progress Platform
Editorial Case Review
The AI/ML Progress Tracker is a SaaS-style dashboard built for tracking technical learning milestones. Featuring a comprehensive, hierarchically organized study plan, it enables user groups to log daily study metrics, view peer progress bars, and track task check-offs in real time. The app is built with a focus on authentication controls and data isolation.
Core Capabilities
Structured AI/ML roadmap (Month → Week → Day → Tasks)
Task-level progress tracking with real-time updates
Role-based authentication (Admin & Member)
Admin panel for user management and collaborative views
Progress analytics with percentage and visual indicators
Engineering Case Study
Enforcing strict authorization rules allowing public peer review of tracking stats while locking edit rights to authenticated data owners.
Designed complex Row Level Security (RLS) policies in PostgreSQL, exposing secure read-only aggregate views while restricting mutation queries behind isolated API routes.
Development Journey & Milestones
Architecture & System Design
Structured the schema for AI ML Progress Tracker, defining state management patterns and API route handlers.
Full-Stack Implementation
Engineered core features using Next.js (App Router), TypeScript, Supabase (PostgreSQL + Auth) with component modularity.
Performance & Optimization
Applied server-side rendering, debounced event flows, and asset compression for top Lighthouse scores.
Deployment & CI/CD Telemetry
Deployed live production build with continuous integration and automated telemetry tracking.
Key Specifications
Built With
Product Performance
Local Setup Commands
git clone https://github.com/Rameshwar-bhagwat10/Ml-Roadmap.git
cd ai-ml-progress-tracker
npm install
npm run devInterface Gallery