AI LinkedIn Profile Analyser — Django & Groq Final Year Project

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.