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Major Project · Web Development

Career Guidance and College Recommendation System Project

A web-based platform that helps students identify suitable career paths, courses, and colleges based on their academic profile, aptitude test performance, skills, and interests using Machine Learning and recommendation algorithms.

Difficulty Level
Advanced
Core Modules
8 Modules
Laptop frame

Project Overview

The AI-Powered Career Guidance and College Recommendation System is designed to assist students in making informed educational and career decisions. The system provides career recommendations using Machine Learning techniques, aptitude assessment, course guidance, and college suggestions based on student performance and interests. Colleges can manage their profiles and courses, while administrators oversee students, colleges, aptitude questions, and system activities. By combining recommendation algorithms, skill matching, and educational data analysis, the platform offers personalized guidance that helps students choose suitable academic and professional paths.

Module Breakdown 8 Modules

User Authentication Module
Handles user registration, login, logout, and role-based access control for students, colleges, and administrators.
Student Management Module
Allows students to create and manage profiles, update personal information, view colleges and courses, and access career guidance services.
College Management Module
Enables colleges to create institutional profiles, add available courses, manage course offerings, and showcase educational opportunities.
Aptitude Test Module
Conducts online aptitude assessments through multiple-choice questions and automatically calculates student scores for further recommendations.
College Recommendation Module
Suggests suitable colleges based on aptitude test scores and college cutoff marks, helping students identify eligible institutions.
Course Recommendation Module
Recommends courses based on the student's selected stream and interests using predefined recommendation rules and educational datasets.
Career Guidance Module (Machine Learning)
Analyzes student skills, specialization, and academic background using TF-IDF and Cosine Similarity algorithms to suggest suitable career paths.
.Administration Module
Provides centralized control for managing students, colleges, aptitude questions, answers, projects, videos, and overall system monitoring through dashboards and analytics.

Technology Stack

Python HTML CSS3 Java Script Django SQLite

Project Screenshots 4 Screenshots

Screenshot 1 of Career Guidance and College Recommendation System
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Screenshot 2 of Career Guidance and College Recommendation System
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Screenshot 3 of Career Guidance and College Recommendation System
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Screenshot 4 of Career Guidance and College Recommendation System
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Project Abstract

The AI-Powered Career Guidance and College Recommendation System is designed to assist students in making informed educational and career decisions. The system provides career recommendations using Machine Learning techniques, aptitude assessment, course guidance, and college suggestions based on student performance and interests. Colleges can manage their profiles and courses, while administrators oversee students, colleges, aptitude questions, and system activities. By combining recommendation algorithms, skill matching, and educational data analysis, the platform offers personalized guidance that helps students choose suitable academic and professional paths.

Project Kit Includes

Complete Source Code
Database Schema & Setup Guide
Project Report Template
Completion Certificate
Installation & Deployment Guide

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