Screenshots of the finished app will be added here before it goes on sale.

Coming soonBeginner

AI Resume Analyzer

Upload a resume as a PDF and paste a job description. The app scores how well they match, lists the missing skills, gives specific feedback on the resume and generates interview questions to practise.

from ₹499 at launch

One-time payment · 3 editions · licence · not on sale yet

Choose your edition Try the free demo

For: Students and job seekers

Try the free demo¶

A related free tool you can try now: AI Resume Analyzer. It's a demo, not the app you'd buy. Here's the difference.

The free demo

Reviews a resume on our server, with usage limits
You can't see or change how it works

The paid app adds

Job description matching and skill gap analysis
Interview question generation
Runs on your own machine, with the full source code to change

Open the demo in a new tab ↗

Overview¶

The problem it solves

Most resumes are sent without knowing how well they fit the job. This app compares a resume with a specific job description and says what's missing and what to fix, before you apply.

Who it's for

Students and job seekers · Beginner level

Main benefits

A clear match score and the skills the job asks for that the resume doesn't show
Concrete feedback instead of generic tips
Interview questions based on the role and your gaps
A beginner-friendly project with structured LLM output

Features¶

This app is in development. These are the features of the finished app; screenshots and the exact file list will be added before it goes on sale.

What it does

Upload a resume as a PDF
Paste a job description
Match score with the reasons behind it
Skill gap list
Resume feedback and suggested rewrites
Interview questions to practise

Technical capabilities

PDF text extraction with PyMuPDF
Structured LLM output validated with Pydantic
Prompts that cite the resume and the job description
FastAPI backend with a simple web page

Architecture¶

flowchart LR
  U[User] -->|resume PDF + job description| API[FastAPI backend]
  API --> X[Extract resume text]
  X --> P[Analysis prompt]
  API --> P
  P --> L[Groq LLM]
  L -->|JSON| V[Validate with Pydantic]
  V --> R[Score, gaps, feedback, questions]
  R --> U

Data flow

The resume PDF is uploaded and its text extracted.
The resume text and the job description go into one analysis prompt.
{'The LLM returns JSON': 'score, matched and missing skills, feedback and questions.'}
Pydantic validates the JSON; invalid replies are retried with the errors.
The page shows the results.

Backend components

FastAPI app with an analyse endpoint
PDF text extractor
Response models for every result

AI components

Analysis prompt with scoring rules
Groq-hosted LLM with JSON output
Validation and repair loop

Technology stack¶

Technology	What it does here
Python	The language of the whole app
FastAPI	Backend and simple web page
PyMuPDF	Text extraction from PDF resumes
Groq	LLM for analysis and questions
Pydantic	Validates the structured results

What's included¶

Everything is delivered as a private download after payment. Nothing paid is ever public on this site.

What you get	Learner	Career	Developer
Complete source code (ZIP)The whole application: backend, frontend and configuration, organised as a real project.	✓	✓	✓
READMEWhat the app does, how the code is organised and how to run it.	✓	✓	✓
Requirements filerequirements.txt with pinned versions, so installs are repeatable.	✓	✓	✓
Environment example.env.example listing every setting and API key, with safe defaults.	✓	✓	✓
Setup tutorialStep-by-step guide from download to a running app on Windows, macOS or Linux.	✓	✓	✓
Architecture diagramThe diagram on this page as an image, plus the source to edit it.	–	✓	✓
Architecture walkthroughWhy each component exists and how a request flows through the code.	–	✓	✓
Interview Q&AQuestions interviewers ask about a project like this, with model answers.	–	✓	✓
Resume bullet pointsReady-to-adapt bullet points describing the project for your resume.	–	✓	✓
Docker configurationDockerfile and docker-compose.yml to run it in containers.	–	–	✓
Test casesAutomated tests (pytest) for the main features.	–	–	✓
Deployment guideHow to deploy it to a cloud platform, with the settings to change for production.	–	–	✓

System requirements¶

Python	Python 3.11 or newer
Memory (RAM)	2 GB
Disk space	About 300 MB for dependencies
Python packages	`fastapi` `uvicorn` `pymupdf` `groq` `pydantic` `python-multipart`
API keys and services	A Groq API key (Groq offers a free tier with rate limits)
Operating system	Windows, macOS or Linux

Choose your edition¶

Learner Edition

₹499 one-time · at launch

Learn how it works and run it yourself.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch

Career Edition

₹799 one-time · at launch

Everything to present it in interviews and on your resume.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial
Architecture diagram
Architecture walkthrough
Interview Q&A
Resume bullet points

Licence: Personal licence

Support: Help by email if a file is missing or won't open.

Notify me at launch

Developer Edition

₹1,499 one-time · at launch

Production extras and a commercial licence for client work.

Complete source code (ZIP)
README
Requirements file
Environment example
Setup tutorial
Architecture diagram
Architecture walkthrough
Interview Q&A
Resume bullet points
Docker configuration
Test cases
Deployment guide

Licence: Commercial licence

Support: 30 days of email support for setup and code questions, plus help with file problems.

Notify me at launch

Prices are in Indian rupees, one-time, with no subscription. Not on sale yet: "Notify me" adds you to the launch list for this app.

Licence and support¶

Personal licence

Use the code to learn, run it for yourself and show it in your portfolio and interviews. You may not resell or redistribute the code, or use it in work for clients.

Comes with: Learner Edition, Career Edition

Commercial licence

Everything in the personal licence, plus use in your own commercial products and in work for clients. You may not resell or redistribute the source code itself, as-is or as a template.

Comes with: Developer Edition

Learner Edition: Help by email if a file is missing or won't open.
Career Edition: Help by email if a file is missing or won't open.
Developer Edition: 30 days of email support for setup and code questions, plus help with file problems.

Full wording: Licence information · Refund policy

FAQ¶

When can I buy it?

It's in development and not on sale yet. Leave your email below and you'll get one email when it launches.

Which edition should I choose?

Learner if you want to study the code and run it yourself. Career if you'll present it in interviews or on your resume: it adds the architecture walkthrough, interview Q&A and resume bullet points. Developer if you'll use it in client or commercial work: it adds Docker, tests, a deployment guide, a commercial licence and 30 days of email support.

How will I receive the files?

After payment you'll get a private download of the ZIP for your edition. Paid files are never public on this site.

Does it include API keys or hosting?

No. You'll use your own API keys (see System requirements) and run it on your own machine or server.

Can I use it for client work?

Only with the Developer Edition's commercial licence. See Licence information.

Can I get a refund?

See the Refund & Cancellation Policy. It will be updated with the terms for source code before any app goes on sale.

I have a question that isn't answered here.

Use the contact page or email aiwithpriyabrat@gmail.com. We reply within 2 working days.

Get AI Resume Analyzer at launch

It's in development. Leave your email and you'll get one message when it goes on sale, from ₹499. No spam.

Compare editions · Browse all AI projects

AI Resume Analyzer

Try the free demo¶

The free demo

The paid app adds

Overview¶

The problem it solves

Who it's for

Main benefits

Features¶

What it does

Technical capabilities

Architecture¶

Data flow

Backend components

AI components

Technology stack¶

What's included¶

System requirements¶

Choose your edition¶

Learner Edition

Career Edition

Developer Edition

Licence and support¶

Personal licence

Commercial licence

FAQ¶

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Get AI Resume Analyzer at launch