The paper states complete idea of one smart career platform. It uses AI for help students find job and internship. It also help them enhance skills by coding activities and hackathons. Usually, students wondering for coding on one site and job search on another site. Here we are gathering everything to one place. Job listing, internship, coding practice, progress checking for both skill enhancement and job application, recruiter seeing student. All together comes in one system. The platform uses an ANN model to match job or internship for best suitable student makes job search more efficient. It looks at student skills and past performance and records throughout. Not just random matching. The frontend uses React framework. The backend uses Node.Js micro services. And backend is divided into many micro services both role based and task based. The database uses both MongoDB and PostgreSQL. This helps data work fast, horizontally increasing as not fully rational and stay stable. The system was tested on 5,000 student records. Results show 86.3 percent accuracy and an F1 score of 0.84. These stats are better than many rule-based systems. As compared with LinkedIn and LeetCode, students prefer to use this platform more. Around 27 percent more activity was seen. Job application time was also reduced by 22 percent. So students waste less time.