We have developed a system that takes several inputs from the user in a “Career Guide form” page. The inputs consider the users’ aptitude, extra-curricular activity proficiencies, participation, communication skills etc. Then the input values are pushed into a data mining model which is deployed to the system’s webpage. If the user thinks that their school/college report marks aren’t true representative of their aptitudes then they can opt for aptitude tests provided in the system separately to the form page. During the execution of the application the user has to select the “Test your score here” button at the navigation bar. It is compulsory to enter all the data fields. After filling the data and clicking on the submit button of the webpage the system returns a resultant career option. If the user is interested in other career paths then he/she can click the link below of the result page and can explore various fields. If the user has a query regarding the system he/she can click on the “Contact us” button of the navigation bar and enter the query. The user has to fill all the details with proper validations.

EDU2JOB-Education To Job Role Prediction.EDU2JOB is a machine learning–based web application that predicts suitable job roles using a user’s education, skills, CGPA, and experience. It uses a Random Forest model with a Django REST API and JWT authentication to provide secure, accurate career guidance for students and job seekers.

students career prediction

an AI-based Academic Assistant platform designed to help students and faculty with academic insights, risk prediction, and career guidance

It is an student career prediction web application.

AI-powered career mentor for UIUC students: integrates Gemini + ML predictions with roadmap generation. (CodeADA Hackathon Winning Project)

AI-Enhanced Career Guidance System using Machine Learning to predict the best career path for final-year students. Matches student skills and qualifications with career datasets and provides recommendations through a modern Streamlit web app with interactive UI and real-time predictions.

A HireVision: A personalized job placement prediction tool using advanced algorithms to analyze user data empowering students with insights to navigate their career paths confidently.

This project presents a Student Career Prediction System that uses a relational database and machine learning to analyze academic performance, skills, interests, and activities, providing data-driven and explainable career recommendations to support informed career planning.

Students and educational institutions place a high value on placements. It assists students in laying a solid basis for their future professional careers, and a high placement record offers a college/university a competitive advantage in the education market. This report concentrated on a system that predicts whether or not a student would be placed based on their qualifications, previous data, and experience. The outcome of this prediction is determined by a machine-learning algorithm.

The main aim of the project is to predict the rate of chance of academic dropouts in M.Tech. The prediction of dropout rate helps the student to take care about his/her career by declining their fear of dropouts in M.Tech.

Student Career Prediction

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Students Career Prediction in Java

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"Predicting career outcomes for computer science students based on academic and demographic data."

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Student performance and career prediction system

A Psychometric Test for career prediction of students.

Career Prediction Application using Resume & Skills for cs students

Built ML models to predict career paths for IT students using academic and personality data.

Student Career Prediction Using Data Mining Techniques

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Prediction of mid-career salary, considering data from students of different universities.

AI-powered career intelligence platform — placement prediction, resume analysis, career simulation, and personalized learning roadmaps for students and early-career professionals.

Student Career Prediction System using Machine Learning and NLP (BERT).