You will get AI Mock Interview Platform: High-Performance MERN Stack Solution
Project details
Tại màn hình Project summary (Hình image_b6e096.png), bạn cần một đoạn mô tả vừa chuyên nghiệp, vừa "khoe" được tư duy của một Senior Full-stack Developer. Đây là nơi bạn thuyết phục khách hàng rằng bạn không chỉ code giỏi mà còn hiểu sâu về AI và hệ thống.
Dưới đây là nội dung tối ưu để bạn điền vào (tối thiểu 120 ký tự):
1. Nội dung Project Summary (Mô tả dự án)
"I will deliver a high-performance AI Mock Interview platform built with the modern MERN stack (MongoDB, Express, React, Node.js) and integrated with Google AI Studio (Gemini). With over 4 years of experience in full-stack development, I focus on creating a seamless 'What You See Is What You Get' experience, providing users with instant, actionable AI feedback on their interview performance.
My solution stands out because it combines real-time AI response logic with a secure, scalable architecture using Prisma and MongoDB. You will get a fully responsive application with a clean UI (Tailwind CSS) that is production-ready and optimized for deployment on Vercel or Render.
Dưới đây là nội dung tối ưu để bạn điền vào (tối thiểu 120 ký tự):
1. Nội dung Project Summary (Mô tả dự án)
"I will deliver a high-performance AI Mock Interview platform built with the modern MERN stack (MongoDB, Express, React, Node.js) and integrated with Google AI Studio (Gemini). With over 4 years of experience in full-stack development, I focus on creating a seamless 'What You See Is What You Get' experience, providing users with instant, actionable AI feedback on their interview performance.
My solution stands out because it combines real-time AI response logic with a secure, scalable architecture using Prisma and MongoDB. You will get a fully responsive application with a clean UI (Tailwind CSS) that is production-ready and optimized for deployment on Vercel or Render.
Programming Languages
JavaScriptCoding Expertise
Cross Browser & Device Compatibility, Performance OptimizationWhat's included $25
These options are included with the project scope.
$25
- Delivery Time 5 days
- Number of Revisions 0
- Number of Pages 3
- Design Customization
- Content Upload
- Responsive Design
- Source Code
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$49Frequently asked questions
About Nam
Fullstack Developer | React Developer | Next.js | Vue.js
Da Nang, Vietnam - 5:29 am local time
With over 5 years of experience in the IT industry, I’ve contributed to and led multiple projects across various domains. I specialize in modern frontend ecosystems such as Vue.js, Nuxt.js, React, Next.js, and TypeScript—building everything from SEO-ready SPAs and PWAs to scalable, modular frontend architectures with clean, maintainable code.
Beyond just development, I focus on understanding business logic, collaborating closely with backend teams, UI/UX designers, and stakeholders to deliver smooth, intuitive, and high-quality user experiences.
🎯 Core Strengths
Frontend: Vue.js, Nuxt.js, React, Next.js
State Management: Vuex, Redux, Redux-Saga, Zustand, RTK Query
Languages: JavaScript (ES6–ES8), TypeScript
Backend / Full Stack: Node.js, Express, NestJS
Databases: MongoDB, MySQL, Firebase
UI & Styling: HTML5, CSS3, Tailwind CSS, Sass/Scss, PostCSS
SEO & Performance: Technical SEO, Lighthouse optimization, performance tuning
Tooling & DevOps: Webpack, Vite, Git, NPM/PNPM, Docker, CI/CD (GitHub Actions, GitLab CI)
💼 What I Deliver
Clear, scalable frontend architectures
Smooth and responsive UI/UX aligned with WCAG standards
Clean, maintainable TypeScript-based codebases
Full performance & SEO optimization
Proactive communication and problem-solving
End-to-end implementation from frontend to backend when needed
✨ If you need a developer who designs great interfaces and thinks ahead — let’s work together.
Steps for completing your project
After purchasing the project, send requirements so Nam can start the project.
Delivery time starts when Nam receives requirements from you.
Nam works on your project following the steps below.
Revisions may occur after the delivery date.
Environment Setup & Database Logic
Configuring the Google AI Studio API and establishing a secure connection to your MongoDB database using Prisma/Mongoose for robust data handling.
AI Prompt Engineering & Backend Integration
Developing the ExpressJS backend to process interview questions and feedback using optimized AI prompts for high-accuracy mock sessions.