🎓 AI Course Recommendation System

A Machine Learning based Course Recommendation System that recommends the most relevant courses based on either a selected course name or a user's skills.

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🚀 Features

• Recommend similar courses using TF-IDF
• Recommend courses based on user skills
• Cosine Similarity based matching
• Interactive command line interface
• Recommendation confidence score
• Execution time measurement
• Model serialization using Joblib
• Clean and modular code structure

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🛠 Technologies Used

• Python
• Pandas
• Scikit-Learn
• TF-IDF Vectorizer
• Cosine Similarity
• Joblib

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📂 Project Structure

Task_3/
│
├── datasets/
│   └── courses.csv
│
├── models/
│   ├── dataframe.pkl
│   ├── tfidf_matrix.pkl
│   └── vectorizer.pkl
│
├── screenshots/
│
├── main.py
├── requirements.txt
└── README.md

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📊 Dataset

The dataset contains course names and associated skills.

Example:

Course	Skills
Machine Learning	python, numpy, pandas, sklearn, regression, classification, clustering
Data Analytics	sql, excel, power bi, tableau, statistics

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⚙️ How to Run

Install dependencies

pip install -r requirements.txt

Run

python main.py

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Example Output

Choose an option

1. Recommend by Course Name
2. Recommend by Skills

Enter Skills:
python sql power bi

Top Recommended Courses

1. Data Analytics
2. Backend Development
3. SQL Masterclass
4. Power BI Dashboard
5. Python for Beginners

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Future Improvements

• Streamlit Web Application
• Flask API
• Sentence Transformers
• Deep Learning Recommendation Engine
• Large Course Dataset

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Author

Abhishek Singh B.Tech CSE (AI & ML)