Create Candiq - Anonymous Feedback Platform
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
Candiq is a modern full-stack anonymous feedback platform built to help individuals, creators, businesses, and teams collect honest feedback while maintaining privacy and security.
I designed and developed the application as a complete MERN-based platform, covering both the frontend and backend architecture. The platform allows users to create personalized feedback pages, receive anonymous messages, manage feedback through a dashboard, and interact with their audience in real time.
The frontend was developed using React 19, Vite, Tailwind CSS v4, and Framer Motion, with a focus on responsive UI, reusable components, smooth interactions, and a clean user experience.
The backend was built with Node.js and Express.js using a RESTful API architecture. I implemented secure authentication using JWT with HTTP-only cookies, Google OAuth 2.0, and two-factor authentication, along with authorization and protected API routes.
Candiq includes AI-powered content moderation using the Google Gemini API and Hugging Face Inference API to detect and handle toxic, abusive, or inappropriate feedback. I also implemented custom word filtering and moderation controls to improve platform safety.
For real-time functionality, I integrated Socket.IO, allowing users to receive feedback-related updates without manually refreshing the application.
The platform supports media attachments through Multer and Cloudinary, while MongoDB Atlas is used for persistent data storage.
To improve performance and scalability, I implemented Redis using Upstash, BullMQ, and ioredis for caching, background processing, asynchronous tasks, and job scheduling.
I also developed a Developer API and Embeddable Feedback Widget as a premium feature. This includes API-key-based authentication, secure hashed API keys, request logging, usage tracking, API endpoints for feedbacks/links/polls, and a dashboard for managing integrations and API usage.
The platform also includes Razorpay subscription payments, premium feature access, rate limiting, security middleware using Helmet and HPP, and error/monitoring infrastructure using Sentry.
Overall, Candiq demonstrates hands-on experience in full-stack MERN development, REST API architecture, authentication, AI integration, real-time communication, payment integration, cloud storage, background processing, API security, performance optimization, and scalable application design..
I designed and developed the application as a complete MERN-based platform, covering both the frontend and backend architecture. The platform allows users to create personalized feedback pages, receive anonymous messages, manage feedback through a dashboard, and interact with their audience in real time.
The frontend was developed using React 19, Vite, Tailwind CSS v4, and Framer Motion, with a focus on responsive UI, reusable components, smooth interactions, and a clean user experience.
The backend was built with Node.js and Express.js using a RESTful API architecture. I implemented secure authentication using JWT with HTTP-only cookies, Google OAuth 2.0, and two-factor authentication, along with authorization and protected API routes.
Candiq includes AI-powered content moderation using the Google Gemini API and Hugging Face Inference API to detect and handle toxic, abusive, or inappropriate feedback. I also implemented custom word filtering and moderation controls to improve platform safety.
For real-time functionality, I integrated Socket.IO, allowing users to receive feedback-related updates without manually refreshing the application.
The platform supports media attachments through Multer and Cloudinary, while MongoDB Atlas is used for persistent data storage.
To improve performance and scalability, I implemented Redis using Upstash, BullMQ, and ioredis for caching, background processing, asynchronous tasks, and job scheduling.
I also developed a Developer API and Embeddable Feedback Widget as a premium feature. This includes API-key-based authentication, secure hashed API keys, request logging, usage tracking, API endpoints for feedbacks/links/polls, and a dashboard for managing integrations and API usage.
The platform also includes Razorpay subscription payments, premium feature access, rate limiting, security middleware using Helmet and HPP, and error/monitoring infrastructure using Sentry.
Overall, Candiq demonstrates hands-on experience in full-stack MERN development, REST API architecture, authentication, AI integration, real-time communication, payment integration, cloud storage, background processing, API security, performance optimization, and scalable application design..
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