Case Study Showcase

AI-Enhanced Pomodoro Tracker

Smart productivity timer with Gemini-powered task insights

ReactTypeScriptExpressMongoDBZustandWebSocketsGoogle Gemini AIChart.jsDnD KitTailwind CSSFramer Motion
DeploymentCloudinary + CDN
AccessPrivate
Codebase256 KB
Stack11 Technologies
The Challenge & Bottleneck

Core Problem Statement

"Standard timers lack intelligent insights and task prioritization. I needed a tool that maintains focus across devices while providing AI-powered granularity for complex goals."

Engineered Solution

Architectural Implementation

Full-stack monolithic architecture where an Express backend (TypeScript) serves the React frontend and manages real-time WebSocket state via Socket.io.

Engineering Deep Dive

Detailed review of tradeoffs, database models, scaling strategies, and microservices

Structural Trade-offs & Decisions

Monolithic deployment simplifies initial pipeline but couples frontend/backend lifecycles. Utilizing WebSockets increases statefulness requirements for the backend.

Context & Constraints

  • Productivity & Focus Engineering.
  • Real-time State Orchestration.
  • Generative AI Integration.

Database Modeling & Storage Strategy

Document-oriented schema tracking focus intervals, task completion states, and user behavioral analytics for generating Chart.js analytical views.

Scaling Plan & Performance Roadmap

Decouple static assets to a CDN and isolate the Gemini processing layer into a dedicated microservice to prevent main-thread latency during heavy inference.

System Subservices & Workers

Express API Backend
WebSocket Real-time Server
Gemini AI Service
MongoDB Atlas Database
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