BSc AI Career Analysis and Job Matching Final Year Project Report

AI-Based Career Profile Analysis, Skill Gap Prediction and Job Matching is a full-stack Django web application designed to help students and job seekers analyze their professional profiles, identify missing skills, discover suitable career roles, and find relevant jobs through Artificial Intelligence and Machine Learning.

Users can build detailed career profiles, add skills, education, projects, and certifications, upload PDF resumes, automatically detect skills from resumes, run OpenAI-powered profile analysis, generate skill gap reports for target job roles, receive career suggestions, search jobs, view BERT/OpenAI/combined job match scores, apply for jobs, save jobs, and review previous analysis results.

The system uses a hybrid AI/ML pipeline combining BERT dual-encoder embeddings, OpenAI embeddings, cosine similarity, skill overlap, BM25 sparse retrieval, FAISS dense retrieval, NLP normalization, resume skill extraction, and optional contrastive learning. This allows the platform to compare a user's profile against career roles and job requirements using multiple matching techniques rather than simple keyword matching.

The application also includes a dedicated Career AI Admin Panel where staff can manage users, companies, job categories, skills, career roles, jobs, applications, AI pipeline logs, reports, OpenAI settings, ML weights, retrieval settings, and system configuration.

This project is suitable for B.Tech, M.Tech, BCA, MCA, BE, ME, BSc, MSc, Data Science, AI, and Machine Learning students who need a practical final year project, major project, or minor project based on Artificial Intelligence, career recommendation, skill gap prediction, resume analysis, job recommendation, BERT, OpenAI API, NLP, information retrieval, and Django development.