AI Career Guidance System using Machine Learning | Final Year Project | Source Code | Python Flask

🎓 AI-Powered Career Guidance System - Complete Final Year Project with Source Code
Get this production-ready machine learning project perfect for CSE, IT, AI, and Data Science students! This intelligent career recommendation system uses Random Forest and Gradient Boosting algorithms to provide personalized career guidance with 95%+ accuracy.
🔥 Project Highlights:
✅ Advanced ML algorithms (Random Forest + Gradient Boosting)
✅ 50+ career paths with intelligent recommendations
✅ Interactive dashboard with beautiful visualizations
✅ TF-IDF vectorization with 750+ features
✅ Responsive Bootstrap 5 UI
✅ RESTful API for integration
✅ Production-ready Flask application
✅ Pre-trained models included
✅ Complete source code with documentation
💻 Technology Stack:
Python 3.10+ | Flask 3.0 | scikit-learn | Random Forest | Gradient Boosting | Bootstrap 5 | jQuery | Chart.js | TF-IDF | Gunicorn | Pandas | NumPy
📦 What You'll Get:

Complete Python source code with detailed comments
Pre-trained ML models ready for deployment
HTML, CSS, JavaScript frontend files
Requirements.txt with all dependencies
Database schema and setup scripts
API documentation and usage examples
Deployment guide for cloud platforms
Full project documentation

🎯 Perfect For:
Computer Science | Information Technology | AI/ML Engineering | Data Science | Software Engineering Final Year Students
📱 Get This Project:
WhatsApp: +918603862290
🌐 Direct Purchase: https://projects.codeaj.com/projects/ai-powered-career-guidance-system-machine-learning-final-year-project/
💡 Why Choose This Project:

Industry-relevant AI solution
High accuracy (95%+)
Scalable architecture
Portfolio-worthy
Research potential
Complete implementation

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📌 Timestamps:
0:00 - Introduction
0:30 - Project Overview
1:15 - Features Demo
3:00 - ML Model Explanation
4:30 - Dashboard & Visualizations
6:00 - Career Recommendations
7:30 - Technology Stack
8:15 - How to Get the Project
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