01 Project Synopsis
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M.E. Project Report
M.E. AI Resume Analyzer Final Year Project Report
Get structured M.E. AI Resume Analyzer Final Year Project Report Final Year Project Report and Documentation with project objectives, methodology, system design, diagrams, implementation details, testing and complete project explanations. Suitable as a learning, documentation and project-presentation resource for students working on related final year projects.
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02 Detailed Project Report
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03 Customized Project Report
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Abstract
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Table of Content
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01
Introduction
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02
Problem Statement
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03
Existing System
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04
Proposed System
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05
Objectives
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06
System Architecture
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07
Major Functional Modules
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08
Hardware Requirements
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09
Software Requirements
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10
Future Enhancement
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11
Conclusion
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12
References
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Abstract
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Table of Content
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01
Chapter 1 — Introduction
- 1.1 Background of the Project
- 1.2 Problem Statement
- 1.3 Objectives of the System
- 1.4 Scope of the Project
- 1.5 Existing System Overview
- 1.6 Proposed System Overview
- 1.7 Technologies Used
- 1.8 Overview
- 1.9 Limitations
- 1.10 Advantages
- 1.11 Disadvantages
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02
Chapter 2 — Literature Review / System Study
- 2.1 Introduction
- 2.2 Review of Similar Systems
- 2.3 Comparative Analysis
- 2.4 Software Development Models
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03
Chapter 3 — System Analysis
- 3.1 Introduction
- 3.2 Functional Requirements
- 3.3 Non-Functional Requirements
- 3.4 User Requirements
- 3.5 Feasibility Study
- 3.5.1 Technical Feasibility
- 3.5.2 Economic Feasibility
- 3.5.3 Operational Feasibility
- 3.6 System Architecture
- 3.7 Data Flow Diagram (Level 0)
- 3.8 Data Flow Diagram (Level 1)
- 3.9 Data Flow Diagram (Level 2)
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04
Chapter 4 — System Design
- 4.1 Introduction
- 4.2 Use Case Diagram
- 4.3 Class Diagram
- 4.4 Sequence Diagram
- 4.5 Activity Diagram
- 4.6 ER Diagram
- 4.7 Database Schema
- 4.8 Table Structures
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05
Chapter 5 — System Implementation
- 5.1 Introduction
- 5.2 Development Environment
- 5.3 Tools and Technologies Used
- 5.4 Hardware Requirements
- 5.5 Software Requirements
- 5.6 Module-wise Implementation
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06
Chapter 6 — Testing
- 6.1 Introduction
- 6.2 Testing Strategy
- 6.3 Unit Testing
- 6.4 Integration Testing
- 6.5 System Testing
- 6.6 Test Cases
- 6.7 Bug Reports
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07
Chapter 7 — Results and Discussion
- All screenshots
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08
Chapter 8 — Conclusion and Future Enhancements
- 8.1 Conclusion
- 8.2 Future Enhancements
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09
Chapter 9 — References
Project's Overview
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.
Login Credentials
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
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 & Popular Reports
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- 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
- 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
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.
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Open command prompt and go to project folder:
cd AI-Resume-Analyzer -
Create virtual environment:
python -m venv venvapp -
Activate virtual environment on Windows:
cd venvapp/Scripts activate -
Go back to project folder and open
Appdirectory:cd../.. cd App -
Install dependencies:
pip install -r requirements.txt -
Download spaCy English model:
python -m spacy download en_core_web_sm -
Create MySQL database:
cv -
Update MySQL credentials inside:
App.py - Run the Streamlit application:
streamlit run App.py
Most Important - Download the venvapp folder and place it into root folder to start the project
README Included
Setup Support Available
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.