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Machine Learning / AI Intermediate

AI Resume Analyzer

4.7
(32 student reviews)
🔥 Purchased by 137 students

An intelligent resume screening tool that parses PDF resumes using NLP, extracts skills and experience, calculates a match score against a job description, and suggests missing keywords. Helps job seekers optimize resumes and helps recruiters shortlist 10x faster.

Tech Stack: Python, NLP, PyPDF2, Flask, SpaCy, NLTK, Resume Parsing, Cosine Similarity Downloads: 137
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100% Customizable — Make It Your Own
The report, PPT slides, and source code are fully editable. Change the title page, add your college name, modify sections, rename variables, extend features — anything your college or guide requires. No restrictions whatsoever. The pre-trained model is bundled inside — no training from scratch required.

👀 See What's Inside

This is a live preview of the deliverables you will receive when purchasing any project on our platform.

Report Preview

Academic Project Report

Professionally formatted in IEEE/University standard format. Approx 40 pages.

PPT Preview

Presentation Slides

Clean, modern, and ready for your final year presentation. Approx 12 to 15 slides.

Internship Certificate Preview

Internship Certificate

Official 4/8/12 week internship completion certificate.

Project Certificate Preview

Project Certificate

Unique QR-coded project completion certificate.

Viva Questions Preview

Viva Questions Prep

Detailed technical Viva Q&As with explanations.

Architecture Diagram Preview

Architecture Diagram

System workflow flowchart & data processing pipeline specs.

LinkedIn Post Preview

LinkedIn Post Draft

Ready-to-post LinkedIn content to showcase your project.

Resume Points Preview

Resume Bullets

High-impact bullet points to add to your resume.

Setup Guide Preview

Setup & Run Guide

Step-by-step installation, setup & execution instructions.

Customize & Download

Viva Questions & Answers

Prepare for your project viva with these likely questions and suggested answers.

1. What is the core objective of the AI Resume Analyzer and what real-world problem does it solve?
2. Explain the system architecture and end-to-end data flow in AI Resume Analyzer.
3. Why was Python, NLP, PyPDF2, Flask, SpaCy, NLTK, Resume Parsing, Cosine Similarity selected for this project over alternative frameworks?
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📐 System Architecture & Workflow

High-level architectural flowchart of the data flow and system modules.

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Architecture Diagram Locked
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💼 LinkedIn Project Launch Post

Showcase your project on LinkedIn to recruiters with this ready copy-paste post.

🚀 Excited to announce the successful completion of my major project!

As part of my Engineering curriculum...

✨ Key Highlights & Features:
🔹 [Hidden feature 1]
🔹 [Hidden feature 2]
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Add This to Your Resume

Copy-ready resume bullet points are included with this project.

• Engineered and deployed the AI Resume Analyzer, providing a robust solution for machine learning / ai challenges.

• Utilized a modern technology stack including Python, NLP, PyPDF2, Flask, SpaCy, NLTK, Resume Parsing, Cosine Similarity to build a highly scalable, secure, and modular application architecture.

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Resume Points Locked
4 professionally written resume bullet points are included. Purchase this project to unlock them.
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Student Reviews (32)

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