Using Blockchain and Artificial Intelligence to build a Job Recommendation System for Students in Information Technology

In the current era of rapidly developing 4.0 technology, jobs related to Information Technology are becoming more diverse and prosperous. That has less or more influenced the Information Technology students in determining the future job that is right for them. Based on this painful problem, we decided to build an application called SmartCV, which uses Smart Contract in Blockchain Technology to find jobs and connect with company recruiters for Information Technology students in Vietnam and the region. At the same time, we implemented a recommendation system using Machine Learning and Statistical Analysis algorithms to help them choose a suitable job based on their skills. Machine Learning algorithms included Feed Forward Neural Network (FNN), Sequential (KNF), Convolutional Neural Network (CNN), K-Nearest Neighbors (KNN), and Statistical Analysis algorithm included Logistic Regression (LR) using the Python programming language. This recommendation system was trained and tested using a dataset of IT jobs crawled on job search websites. We evaluated machine learning algorithms using accuracy, recall, precision, and micro-F1 to predict the most suitable job. The experimental results of predicting students' jobs demonstrate that the Convolutional Neural Network Model (CNN) gives the highest accuracy.