Welcome to the Phone Recommendation System! This system is designed to help users find the perfect smartphone based on their preferences and requirements. Whether you're a tech enthusiast or a casual user, our recommendation system strives to provide personalized suggestions that align with your needs.
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User-Friendly Interface: The system boasts an intuitive and easy-to-use interface. Users can input their preferences through a series of simple steps, making the recommendation process quick and hassle-free.
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Smart Recommendation Algorithm: Our recommendation algorithm takes into account a variety of factors, including budget, preferred brand, performance requirements, camera specifications, and more. The more information you provide, the better the system can tailor its recommendations to your preferences.
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Extensive Database: The system is continuously updated with the latest smartphone models and specifications. This ensures that you receive recommendations based on the most current information available in the market.
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Comparison Feature: Users can compare multiple smartphones side by side, enabling them to make informed decisions. The comparison feature includes a detailed breakdown of specifications, pros, and cons for each device.
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User Account Management: For a more personalized experience, users can create accounts to save their preferences, view past recommendations, and receive notifications about new releases or relevant updates.
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Input Preferences: Start by entering your preferences, such as budget, preferred brand, and specific features you prioritize in a smartphone.
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View Recommendations: After entering your preferences, the system will generate a list of recommended smartphones that best match your criteria.
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Compare Devices: Utilize the comparison feature to evaluate the specifications, strengths, and weaknesses of each recommended device.
- Rushikesh Shinde - Data Science Post Graduate - All Work
Special thanks to the Streamlit team for providing a powerful framework for building interactive web applications with minimal effort.
Feel free to contribute, report issues, or provide feedback. Happy modeling!
- This project is licensed under the MIT License - see the LICENSE file for details.