In modern frontend applications, managing complex logic such as data fetching, user input, timers, and state transitions can quickly lead to tightly coupled and difficult-to-maintain components. This project addresses that challenge by building a Smart Interview Preparation Dashboard using React, with a strong focus on custom Hooks, reusability, and clean architecture.
The application simulates a real interview practice environment where users can navigate through questions, write answers, track progress, and filter content by category and difficulty. Instead of embedding logic directly inside components, we progressively extract functionality into reusable custom Hooks, mirroring how scalable frontend systems are built in production environments.
Throughout the project, we implement and compose several custom hooks, including:
useFetch() for abstracting data retrieval from a mock API.
useTimer() for managing time-based behavior with proper cleanup.
useAnswers() for handling user input and persisting data in localStorage.
useAutoSave() for implementing debounced saving using useRef.
useInterviewSession() for encapsulating domain-specific logic such as question navigation and progress tracking.
As these Hooks evolve, we combine them to form a cohesive system where each layer has a clear responsibility: components handle rendering, Hooks manage logic, and services provide data. This separation highlights how React applications can scale when logic is modular and reusable.
By the end of the project, we bring everything together into a dashboard-style interface that integrates filtering, progress tracking, timed sessions, and persistent answers. The final result demonstrates how custom Hooks are not just utilities, but foundational building blocks for designing clean, maintainable, and production-ready React applications.