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Anonymous Feedback App

Introduction

The Anonymous Feedback App is a robust platform designed to facilitate anonymous communication and feedback exchange. This application enables users to create profiles, share unique links, and receive anonymous feedback and messages. It is built with a scalable, dynamic, and fully responsive architecture, ensuring compatibility across various devices and screen sizes.

Features

  • Dynamic UI: Leveraging Next.js and React.js for a seamless and interactive user experience.
  • Responsive Design: Tailwind CSS ensures the application is visually appealing on all devices.
  • Scalable Backend: Powered by MongoDB, providing robust and efficient data handling.
  • Secure Authentication: Implemented with NextAuth.js to ensure secure login and user management.
  • Efficient API Calls: Axios is used for efficient data fetching and API integration.
  • Data Validation: Zod is utilized for schema validation, ensuring data integrity and consistency.

Tech Stack

Frontend

  • Next.js: A powerful React framework for server-side rendering and static site generation.
  • React.js: A popular JavaScript library for building user interfaces.
  • Tailwind CSS: A utility-first CSS framework for rapid UI development.
  • Shadcn: A library for accessible and customizable UI components.

Backend

  • MongoDB: A NoSQL database for scalable and high-performance data storage.
  • NextAuth.js: A library for authentication with support for OAuth, email/password, and more.
  • Axios: A promise-based HTTP client for making API requests.
  • Zod: A TypeScript-first schema declaration and validation library.

Usage

Creating Your Profile

  1. Sign up on the platform and create your profile.
  2. Share your unique profile link with friends, colleagues, or followers.

Receiving Feedback

  1. Receive anonymous feedback and messages through your shared link.
  2. Use the feedback to engage, improve, and grow personally or professionally.

About

A True Honest Feedback gathering Application without putting identity at risk

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