AI LinkedIn Profile Analyser — Django & Groq Final Year Project

AI LinkedIn Profile Analyser — Django & Groq Final Year Project

Paste your LinkedIn profile, get an AI-generated score, section-wise breakdown, and rewrite suggestions in under a minute.

Technology Used

Django | DRF | Groq API | Next.js | SQLite3 | pdfplumber

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What This Project Actually Does

Most students building "resume analyser" projects just count keywords and call it a day. This one's different. You paste your LinkedIn profile text (or upload the PDF export LinkedIn gives you), and the system breaks it into sections — Headline, About, Experience, Education, Skills — then runs each one through Groq's Llama model to score it, flag weak phrases like "hardworking" and "team player," and generate a rewritten version that actually sounds better.

It's not a toy demo. There's real parsing logic to handle LinkedIn's messy PDF export format, a scoring engine with weighted averages across sections, and an optional keyword-gap checker that compares your profile against a job description you paste in.

Key Features

Here's what's actually built in:

  • Overall profile strength score out of 100, calculated as a weighted average across five sections
  • Section-wise AI scoring for Headline, About, Experience, Education, and Skills
  • Weak-phrase detector that flags generic buzzwords sitting in your profile right now
  • AI-rewritten suggestions for every section, not just generic tips
  • Keyword-gap analysis — paste a job description and see exactly which skills you're missing
  • Downloadable PDF report you can actually show your mentor or put in your project file
  • PDF upload support using pdfplumber, so users don't have to copy-paste manually

Real-World Applications

Placement cell tools at colleges could use something like this before students start applying. Career coaching platforms run paid versions of almost exactly this. And honestly, any student prepping for internship season would actually use this on their own profile — it's not just a project that lives in a report and dies after your viva.

Who Should Buy This

If you're a BCA, MCA, or BTech CSE student who needs an AI/ML project with real NLP work behind it — not just a CRUD app with an AI label slapped on — this fits. It's also solid if your college wants to see API integration (Groq), some NLP-style text parsing, and a working end-to-end pipeline from input to PDF output.

Why CodeAj

You get the full source code, a ready-to-edit project report, and setup support if something breaks on your machine. We've built and sold projects like this before — check our AI/ML final year projects collection for similar builds, or browse Django project source code if you want to see the backend patterns we use across the board. Setup help is included, and if you're on a tight deadline, urgent booking gets you priority support.

Frequently Asked Questions

You will get the complete source code along with an installation guide and chat support to help you set up and understand the project.
All our projects are thoroughly tested multiple times, so the code is completely error-free. But in case you still face any issue, you can reach out to us on WhatsApp (+91 8603862290) and we will fix it and provide you the updated code.
You can book a 1-on-1 Setup & Explanation Session where we connect via AnyDesk and Google Meet, set up the project on your laptop, and explain the complete code working and flow.
No, you cannot re-sell the project. This is completely illegal and a violation of our terms. If we find any such activity, we will take legal action.
Yeah, everything — the Django backend, the parsing logic, the Groq integration, and the Next.js frontend. Nothing's held back.
No, Groq has a free tier that's more than enough for demo and viva purposes. You'll just need to sign up and generate a key.
It's built to actually run live. You can paste your own LinkedIn profile during your viva and show the panel a real score in real time — that usually lands better than a static screenshot.
It uses heading-based detection with fallback heuristics, so it handles most standard LinkedIn PDF exports. There's also a manual paste option if the PDF parsing misses something on an unusual profile layout.
It's got real NLP-style text analysis, AI API integration, and a working scoring algorithm — not just a form with a database behind it. It holds up well against typical AI/ML submissions.
Yes, setup support is included with your purchase. If you need faster turnaround, the urgent booking option gets you priority help.
Definitely. The scoring logic is in one function with clearly separated weights, so bumping up Experience or adding a Certifications section is a small change, not a rewrite.
Installation Guide

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Project Setup

We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).

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1-hour live session to explain logic, flow, database design, and key features.

Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.

₹999

Custom Documents (College-Tailored)

  • Custom Project Report: ₹1,500
  • Custom Research Paper: ₹1,000
  • Custom PPT: ₹800

Fully customized to match your college format, guidelines, and submission standards.

Project Modification

Need feature changes, UI updates, or new features added?

Charges vary based on complexity.

We'll review your request and provide a clear quote before starting work.

Project Files

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What Our Students Say

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