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Laptop recommender machine learning project using advanced content filtering and cosine similarity techniques, our system matches your preferences to the perfect laptop, providing you with accurate and personalized suggestions.

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ashwinsk24/Laptop-Recommender

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Laptop Recommender

MINI PROJECT S6-TEAM 10

Team members

  1. Ashwin Sivasankaran Rollno. 37
  2. Bimal Dev Rollno.41
  3. Catherine Jose Rollno. 44
  4. Farhan Naeem Rollno. 52

How it Works ?

Libraries used

  • Python 3.9
  • Flask==1.1.4
  • pandas==1.3.5
  • scikit-learn==0.24.2
  • numpy==1.19.5
  • Jinja2==2.11.3
  • MarkupSafe==2.0.1
  • patsy==0.5.1
  • blinker==1.4
  • certifi==2021.10.8
  • charset-normalizer==2.0.7
  • click==7.1.2
  • colorama==0.4.4
  • idna==2.10
  • itsdangerous==2.0.1
  • MarkupSafe==2.0.1
  • python-dateutil==2.8.2
  • pytz==2021.3
  • requests==2.26.0
  • six==1.16.0
  • tzdata==2021.5
  • urllib3==1.26.7
  • Werkzeug==1.0.1
  • gunicorn==20.1.0

How to configure

  • Installing
$ pip install -r requirements.txt

How to Run

$ python app.py

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Laptop recommender machine learning project using advanced content filtering and cosine similarity techniques, our system matches your preferences to the perfect laptop, providing you with accurate and personalized suggestions.

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