AI - Based Resume Analysis and Career Recommendation System for Empowering Students

An AI-powered platform to help students become the next generation of leaders. The gap between student learning and employability with personalized career guidance and lead-ership opportunities. The primary objective of this innovative project is to develop a Data-driven platform using Natural Language Processing (NLP) and Machine Learning (ML) to match student profiles with the latest business needs. We used a different model like Random Forest, SVM, and neural networks and ran them through a training pipeline, and evaluated using data preprocessing to clean up the data for tuning the features. The effectiveness of combining NLP with classic machine learning approaches to enhance career recommendation systems. The novelty of Campus-edge distinguishes itself by integrating open-source technology with a student-centric approach. Allowing users to compare models directly and empowering students to navigate their future career paths with confidence.So, they can make smarter choices about their careers and pick up real leadership skills along the way. SVM came out on top with a 96% accuracy rate better than any of the other models.