Watch the livestream building here:https://www.youtube.com/embed/GK94OvXMnVU
Hiring the right person is often a race against time. For every open role, recruiters are hit with a "mountain" of resumes—many of which don't fit the requirements. Manually reading each one is not just slow; it's exhausting and prone to human error.
Today, we are going to build a Full-Stack AI Resume Screening App. This isn't just a simple chatbot; it’s a professional tool that automatically "reads" PDF resumes, extracts candidate data, and ranks them based on how well they match your job description.
How the App Works: The User Journey
Before we dive into the build, let’s look at how the app functions from a recruiter's perspective. The goal is to move from a pile of documents to a ranked shortlist in four simple steps:
Job Setup: The recruiter creates a new job posting in the app and pastes the job description.
Bulk Upload: The recruiter drags and drops a folder of PDF resumes into the dashboard.
Automated Processing: The app’s "conveyor belt" kicks in. Each resume is parsed, analyzed, and scored against the job requirements in the background.
Ranked Shortlist: The recruiter sees a leaderboard of candidates.
Our Toolkit: The "Face" and the "Brain"
To build a production-ready app, you need a balance of logic and design. Think of your app like a human: it needs a face to interact with the world and a brain to process information.
Lovable (The Face/Frontend): Frontend means the interface of App, including the beautiful dashboard, the "Upload" buttons, and the ranked lists that you see and click. We use Lovable because it allows us to "vibe code"—describing our design in plain English to create a professional look in seconds.
Momen (The Brain/Backend): This is where the real work happens. Momen acts as your Backend-as-a-Service (BaaS). It’s where we store data, handle security, and build "Agentic Workflows"—complex AI logic that can read files and make decisions.
By connecting these two, you get the best of both worlds: a stunning user experience backed by a powerful, secure engine.
Step 1: Create Your Digital Filing Cabinet (The Database)
Before our AI can start screening, it needs a place to stay organized. In the tech world, a Database is simply a structured filing system that ensures your information isn't lost when you close your browser.
In Momen, we start by setting up two main "drawers":
Job Openings Table: This stores your job titles and the specific requirements (the "rubric").
Candidates Table: This stores the applicant's name, their uploaded PDF, and the AI’s final "Match Score."
Why build this first? The AI needs a "source of truth." It needs to read the "rules" from your Job Table and have a permanent place to write down its "grade" in the Candidate Table. Once the cabinet is ready, we need someone to do the filing.
Pro Tip: If you aren't sure how to structure these tables, you can use the Momen Data Copilot. Simply describe your app's goal to the Copilot, and it will automatically generate the database infrastructure (the tables and columns) for you. It’s a massive time-saver for setting up your data foundation.
Step 2: Configure Your AI Recruiter (The Agent)
Now that we have our filing cabinet, we need an expert to manage it. In Momen, we create an AI Agent. Think of this as a tireless junior recruiter who has memorized your company’s needs.
The Instructions: You give the agent a specific "Prompt." For example: "You are a senior recruiter. Analyze the attached PDF. Compare it to the requirements in our Job Table. Be strict—only give a high score if they meet the core technical needs."
Structured Output: We tell the AI to return data in a specific format (like a spreadsheet row) rather than a long paragraph. This is key because it allows the app to automatically sort candidates from 1 to 100.
Now that we have our filing cabinet and our expert recruiter, we need a way to move the resumes from the "Upload" button to the AI's desk.
Step 3: Set Up the Conveyor Belt (The Action Flow)
This is the heart of your app’s logic. In Momen, we use an Action Flow to connect everything.
What is an Action Flow? Think of it as a digital "conveyor belt" or a workflow. It is a visual map of steps that the app follows every time a user does something (like clicking "Submit").
Why do we need it? Without a flow, your app is just a collection of static parts. The Action Flow provides the logic:
The Trigger: A user uploads a PDF.
The Logic: The flow takes the file $\rightarrow$ hands it to the AI Agent $\rightarrow$ waits for the score $\rightarrow$ saves that score into the database.
Asynchronous Processing: This is a vital "pro" feature. It means the conveyor belt runs in the background. You can upload 50 resumes and keep browsing the app while the AI "cooks" the results.
Once this logic is humming along in the background, it’s time to bring it all to the surface.
Step 4: Bridge the Brain to the Face (Integration)
The final step is letting Lovable (the face) talk to Momen (the brain).
Share the Blueprints: Export your Simplified Schema from Momen. This is a JSON file that acts as a "map," telling Lovable exactly where the tables and Action Flows are located.
Design the UI: Paste that map into Lovable and say: "I’ve built the logic in Momen. Use this schema to create a recruiter dashboard where I can upload resumes and see a ranked leaderboard of candidates."
Refine & Polish: Lovable will generate the interface. Because it understands your Momen "map," the buttons it creates will automatically trigger the Action Flows you built.
Conclusion: Professional AI, No Code Required
By using Momen for the structured logic and Lovable for the stunning design, you’ve moved past simple prototypes. You now have a production-ready tool with a scalable database, secure file handling, and a custom AI agent that works for you 24/7.
Ready to start? Explore Momen at: https://momen.app/
Check out the Momen + Lovable Integration Guide to get the exact blueprints for your first AI project!
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