/Laptop-Recommender

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.

Primary LanguageJupyter Notebook

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