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AI Resume Analyzer Final Year Project with Source Code

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Complete final-year project source code with frontend, backend, database, and setup guide. Instant download after secure payment.

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  • Complete project source files
  • Database script included
  • How-to-run guide
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Review features, setup steps, and credentials before you pay.

Project Overview

Description, tech stack, and what is included

Full source Frontend + backend
Database .sql file
Setup guide README included

AI Resume Analyzer is a Python and Streamlit based final year project developed for analyzing resumes using natural language processing and resume parsing techniques. This major project extracts resume information, identifies skills and keywords, predicts job roles, recommends missing skills, suggests courses and certificates, provides resume tips, calculates an overall resume score, and displays interview/resume improvement videos. The system also includes an admin section where applicant data can be viewed in tabular format, exported to CSV, uploaded resume PDFs can be accessed, feedback and ratings can be reviewed, and analytics charts can be generated for ratings, predicted roles, experience level, resume score, user count, city, state, and country. This AI Resume Analyzer source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, NLP, Streamlit, MySQL, resume parsing, and data analytics.

Technical snapshot

Project
AI Resume Analyzer Final Year Project with Source Code
Stack
PYTHON
Includes
Code, DB, README
License
Academic submission
Secure CCAvenue payment · Instant download · Need help? WhatsApp us

Ready to download?Pay once · Use for submission & viva

Admin Features

Modules and controls available to administrators

  • Admin login in this final year project
  • View applicant resume data
  • Display applicant data in tabular format
  • Download user data as CSV
  • View uploaded PDF resumes
  • View user feedback
  • View user ratings
  • Analyze rating distribution
  • Analyze predicted field / role distribution
  • Analyze experience level distribution
  • Analyze resume score distribution
  • Analyze user count
  • Analyze city-wise users
  • Analyze state-wise users
  • Analyze country-wise users
  • View pie chart analytics
  • Review feedback comments
  • Use resume data for organizational analytics
  • Support placement-related student insights

User Features

What end users can do in this application

  • Resume upload in this final year project
  • Resume parsing
  • Fetch basic information from resume
  • Extract candidate skills
  • Extract resume keywords
  • Analyze resume content
  • Predict user experience level
  • Predict suitable job role
  • Recommend missing skills
  • Recommend courses and certificates
  • Provide resume tips and ideas
  • Calculate overall resume score
  • Show interview tip videos
  • Show resume tip videos
  • Convert resume data into structured format
  • Help users improve resume quality
  • Support repeated resume testing and improvement
  • Provide user-focused resume recommendations

Other Features

Additional capabilities included in the project

Resume Analysis Features in this Final Year Project

  • Resume information extraction
  • Skill extraction
  • Keyword clustering
  • Job sector matching
  • Resume score generation
  • Skill gap recommendation
  • Role prediction
  • Experience level prediction
  • Course recommendation
  • Certificate recommendation
  • Resume improvement tips
  • Interview preparation video recommendations
  • Resume guidance video recommendations

Analytics Features in this Final Year Project

  • Applicant data analytics
  • Resume score analytics
  • Predicted job role analytics
  • Experience level analytics
  • Rating analytics
  • Location analytics
  • User count analytics
  • City-wise analytics
  • State-wise analytics
  • Country-wise analytics
  • CSV export support
  • Plotly-based visualization support
  • Admin dashboard analysis support

Other Features in this Final Year Project

  • Complete AI Resume Analyzer source code
  • Suitable for final year project, major project, and minor project
  • Project report content can be prepared from included modules
  • Streamlit-based application
  • MySQL database support
  • Resume parsing using NLP
  • Skill extraction
  • Keyword extraction
  • Job role prediction
  • Experience level prediction
  • Resume scoring
  • Course recommendation
  • Certificate recommendation
  • Interview tips
  • Resume tips
  • Feedback collection
  • Rating analytics
  • Admin analytics dashboard
  • CSV export
  • Uploaded resume storage
  • Useful for viva, source code review, project report writing, and project demonstration

 

Original Software: Copyright (c) 2022 Deepak Padhi Licensed under the MIT License. Modifications, documentation and additional components: Copyright (c) 2026 FileMakr.com
This product includes open-source software originally released by Deepak Padhi under the MIT License. The original copyright and license notice are included with the source-code package. The amount charged covers project compilation, verification, documentation, delivery and support services.

How to Run

Step-by-step setup on your laptop or PC

  1. Open command prompt and go to project folder:

    
 
    cd AI-Resume-Analyzer

  2. Create virtual environment:

    
 
    python -m venv venvapp

  3. Activate virtual environment on Windows:

    
 
    cd venvapp/Scripts
activate

  4. Go back to project folder and open App directory:

    
 
    cd../..
cd App

  5. Install dependencies:

    
 
    pip install -r requirements.txt

  6. Download spaCy English model:

    
 
    python -m spacy download en_core_web_sm

  7. Create MySQL database:

    
 
    cv

  8. Update MySQL credentials inside:

    
 
    App.py
  9. Run the Streamlit application:
streamlit run App.py

Most Important - Download the venvapp folder and place it into root folder to start the project

Login Credentials

Default demo accounts for testing after setup

Admin Account

  • User ID: admin
  • Password: admin@resume-analyzer

User Access

The client side works by uploading a resume and viewing analysis results. No separate default user login credential is mentioned in the uploaded documentation.

Known Error

Error: GeocoderUnavailable

Cause: Internet connection or network speed issue.

Solution: Check internet connection and retry the application.

License

Usage terms for academic and personal projects

Original Software: Copyright (c) 2022 Deepak Padhi Licensed under the MIT License. Modifications, documentation and additional components: Copyright (c) 2026 FileMakr.com This product includes open-source software originally released by Deepak Padhi under the MIT License. The original copyright and license notice are included with the source-code package. The amount charged covers project compilation, verification, documentation, delivery and support services.

Related Tags

Search terms and categories for this source code

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