Admin Dashboard
Create interviews, choose job roles, set experience level, select topics, and manage interview records.
10-Hour Project-Based Class
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.
Best suited for college students, beginner developers, and early builders who want one serious AI project they can explain in interviews.
What Students Build
Every major screen and workflow connects to something students will later see in real engineering teams.
Create interviews, choose job roles, set experience level, select topics, and manage interview records.
Generate unique links and access codes so candidates can enter the interview flow securely.
Use selected prompt tracks to conduct timed interviews for different roles and skill levels.
Submit transcripts to AI for scoring, summaries, strengths, gaps, and final evaluation.
Store users, interviews, prompts, messages, transcripts, and review results in Supabase PostgreSQL.
Host the finished project online with GitHub, Cloudflare Pages, Cloudflare Functions, and Supabase.
Learning Outcomes
They leave knowing how modern AI applications are assembled from moving parts.
How frontend screens, backend APIs, database tables, auth rules, and AI services fit together.
How to use system prompts, user messages, prompt templates, role selection, and AI evaluation flows.
How to handle API keys, environment variables, signed session tokens, candidate codes, and authorization.
How to push code with GitHub and host a full-stack project using Cloudflare and Supabase.
Concepts Covered
Students touch the exact layers they need to build and explain practical AI software.
10-Hour Structure
A compact build plan that moves from architecture to implementation, deployment, and final polish.
Understand the admin journey, candidate journey, data model, and AI responsibilities.
Build forms, dashboards, interview screens, loading states, and transcript views.
Create tables for users, interviews, prompts, messages, reviews, and relationships.
Connect admin login, candidate codes, backend endpoints, and protected workflows.
Set up prompt templates, conduct chat interviews, evaluate transcripts, and store scores.
Deploy with GitHub, Cloudflare, and Supabase, then test edge cases and improve the product.
Placement Value
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.
A real hosted link and GitHub project that goes beyond clone apps and basic chatbot demos.
Clear stories around product flow, API design, prompt design, data modeling, security, and deployment.
Frontend, backend, database, auth, cloud hosting, and AI integration in one practical project.
Enroll
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.
FAQ
Yes. The class is designed for beginners who know the basics and want to understand how AI is added into a real software product.
Yes. The goal is to leave with a working AI interview system hosted online using Cloudflare and Supabase.
No. Students learn the full product flow: frontend, backend, database, auth, prompts, reviews, storage, and deployment.
College students, beginner developers, and early-stage builders who want a practical AI project they can show and explain.