JAICE
FeaturedCollaborationJAICE — Job Application Intelligence & Career Enhancement A clean, focused web application that helps job seekers track applications, stay organized, and get AI-powered insights to move faster and smarter.
Tech Stack
About This Project
JAICE (Job Application Intelligence & Career Enhancement) is a full-stack web application designed to help job seekers centralize, track, and analyze their job search in a clean, focused workspace. The core goal of the project was to reduce the cognitive overhead of managing applications while providing meaningful, AI-powered insights that help users move faster and make better decisions during the job hunt. The application is built with a modern, modular architecture. The frontend is developed using React, TypeScript, Vite, and Tailwind CSS to ensure a fast, responsive, and accessible user experience. The backend is powered by FastAPI and Python, exposing well-defined REST endpoints that handle application data, analytics, and AI-related processing. Supabase and PostgreSQL are used for authentication, data persistence, and row-level security, ensuring that each user’s data remains isolated and secure. Docker is used to support consistent development and deployment environments. A key focus of JAICE is transforming raw job application data into actionable insights. Rather than simply storing entries, the system is designed to support intelligent analysis such as progress tracking, trend visualization, and future AI-driven features like resume optimization and job relevance scoring. Technical decisions throughout the project prioritized scalability, maintainability, and real-world production patterns, making JAICE both a functional tool and a strong demonstration of modern full-stack development practices.
My Role & Contributions
I led the frontend architecture and core UI/UX implementation while also contributing to backend integration and overall system design. My responsibilities included building reusable React components, implementing responsive layouts with Tailwind CSS, and ensuring accessibility and visual consistency across the application. I designed and integrated frontend-to-backend communication with FastAPI, collaborated on data modeling decisions in PostgreSQL via Supabase, and helped define secure authentication and authorization flows. I also contributed to project planning, feature prioritization, and technical decision-making to ensure the application followed real-world development best practices.
Key Features
- ✓Centralized job application tracking with structured status management
- ✓Secure user authentication and per-user data isolation via Supabase
- ✓Fast, responsive UI built with React, TypeScript, and Tailwind CSS
- ✓Backend REST API built with FastAPI for scalable data access
- ✓PostgreSQL database schema designed for analytics and future AI expansion
- ✓Extensible architecture prepared for AI-driven insights and automation