SMART CAREER ASSISTANCE PORTAL USING AI AND REAL-TIME INDUSTRY INSIGHTS (Tech used-Next JS, Neon DB, Tailwind, Prisma, Inngest, Gemini API, Shadcn UI )

This project analyzes a salary dataset to explore factors like experience, company size, remote work ratio, and country. It includes data cleaning, group analysis, visualizations, and machine learning models (linear regression and Random Forest) to predict salaries and identify key features.