Salary Prediction Using Machine Learning

To help professionals with career planning and wage negotiations, the technology sector is seeing arise in demand for trustworthy salary prediction tools. This study presents a machine learning-based methodthat uses professional and demographic characteristics to forecast software developer salary. The suggestedapproach makes use of an interactive web application created with Streamlit that incorporates a pre-trainedregression model. Through an intuitive interface, users enter their nation, educational background, and yearsof work experience. The algorithm then uses trends discovered in survey data to forecast the expected pay.The Stack Overflow Developer Survey 2020 anonymised responses are used to train the model, whichfocuses on important numerical and categorical factors affecting pay outcomes. The program exhibits a highdegree of predictive power, providing both individuals and companies with insightful information. With itscross-platform deployment, portability, and ease of use, the system is a useful tool for workforce analyticsand career development.