10-Hour Project-Based Class

Build a Hosted AI Interview Platform From Frontend to Backend

Students build a real AI-powered interview system with admin login, candidate links, AI chat interviews, prompt-based role selection, automatic reviews, database storage, and cloud hosting.

AI + Full Stack Supabase + Cloudflare Beginner Friendly Portfolio Ready
Built for real product understanding: this is not a simple chatbot demo. Students learn how AI fits into databases, APIs, auth, prompts, reviews, and deployment.

Best suited for college students, beginner developers, and early builders who want one serious AI project they can explain in interviews.

What Students Build

A Real AI Product, Not a Toy Demo

Every major screen and workflow connects to something students will later see in real engineering teams.

01

Admin Dashboard

Create interviews, choose job roles, set experience level, select topics, and manage interview records.

02

Candidate Interview Links

Generate unique links and access codes so candidates can enter the interview flow securely.

03

AI Chat Interviewer

Use selected prompt tracks to conduct timed interviews for different roles and skill levels.

04

Automatic Review Module

Submit transcripts to AI for scoring, summaries, strengths, gaps, and final evaluation.

05

Database Storage

Store users, interviews, prompts, messages, transcripts, and review results in Supabase PostgreSQL.

06

Cloud Deployment

Host the finished project online with GitHub, Cloudflare Pages, Cloudflare Functions, and Supabase.

Learning Outcomes

What Students Understand by the End

They leave knowing how modern AI applications are assembled from moving parts.

Product Architecture

How frontend screens, backend APIs, database tables, auth rules, and AI services fit together.

AI Integration

How to use system prompts, user messages, prompt templates, role selection, and AI evaluation flows.

Security Basics

How to handle API keys, environment variables, signed session tokens, candidate codes, and authorization.

Deployment Confidence

How to push code with GitHub and host a full-stack project using Cloudflare and Supabase.

Concepts Covered

The Full Stack Behind an AI Product

Students touch the exact layers they need to build and explain practical AI software.

HTML CSS JavaScript Frontend State Forms REST APIs JSON Data Flow Supabase PostgreSQL Supabase Auth Authorization Candidate Codes Signed Session Tokens Prompt Engineering System Prompts AI Interviewer Design AI Review Logic Cloudflare Pages Cloudflare Functions Environment Variables GitHub Deployment

10-Hour Structure

From Product Walkthrough to Hosted App

A compact build plan that moves from architecture to implementation, deployment, and final polish.

01

Product Walkthrough and Architecture

Understand the admin journey, candidate journey, data model, and AI responsibilities.

02

Frontend UI and User Flows

Build forms, dashboards, interview screens, loading states, and transcript views.

03

Database Design with Supabase

Create tables for users, interviews, prompts, messages, reviews, and relationships.

04

Auth, Access Codes, and APIs

Connect admin login, candidate codes, backend endpoints, and protected workflows.

05

AI Interviewer and Review Engine

Set up prompt templates, conduct chat interviews, evaluate transcripts, and store scores.

06

Hosting, Testing, and Improvements

Deploy with GitHub, Cloudflare, and Supabase, then test edge cases and improve the product.

Placement Value

Why This Helps in Interviews

This project gives students a concrete, hosted product to discuss with recruiters and interviewers. They can explain architecture, database design, API design, auth decisions, prompt strategy, AI review logic, and deployment tradeoffs from one coherent build.

Portfolio Project

A real hosted link and GitHub project that goes beyond clone apps and basic chatbot demos.

Interview Talking Points

Clear stories around product flow, API design, prompt design, data modeling, security, and deployment.

Job-Relevant Skills

Frontend, backend, database, auth, cloud hosting, and AI integration in one practical project.

Enroll

Build Your First Serious AI Product

Join the 10-hour project class and leave with a hosted AI interview platform plus the confidence to explain how it works end to end.

Ask a Question

FAQ

Common Questions

Is this suitable for beginners?

Yes. The class is designed for beginners who know the basics and want to understand how AI is added into a real software product.

Will students build a complete hosted project?

Yes. The goal is to leave with a working AI interview system hosted online using Cloudflare and Supabase.

Is this only about calling an AI API?

No. Students learn the full product flow: frontend, backend, database, auth, prompts, reviews, storage, and deployment.

Who is this best for?

College students, beginner developers, and early-stage builders who want a practical AI project they can show and explain.