One Pict is an integrated MERN stack application that combines a community platform, an e-commerce system and integrated content-based filtering, a machine learning technique that uses feature similarities for decision-making, tailored for students. It promotes campus engagement, sustainability, and convenience by allowing students to stay informed about college events, join various clubs, participate in discussion forums, and trade their used items. Additionally, web is employed to enhance the user experience by providing personalized movie recommendations.
- Movie Recommendations: Personalized movie suggestions based on user preferences and favorite movies.
- User Authentication: Secure login and registration using JWT authentication.
- Community Integration: A community platform where students can stay informed about college events, learn about various clubs, and participate in discussion forums for diverse topics would enhance campus engagement and collaboration.
- E-commerce Functionality: An e-commerce platform can be created for students to sell their old items, which promotes reusability and facilitates campus trade. Through this platform, students can sell various items, such as notes, mobile phones, and accessories, to their peers. This system encourages sustainability and creates a convenient marketplace within the campus community.
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Backend: Express.js, Node.js, Flask (Machine Learning)
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Frontend: React, Redux toolkit
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Authentication: JWT, cookie-parser, bcryptjs
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Database: MongoDB
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Cloud Storage: MongoDB Atlas and Cloudinary
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Machine Learing: Pandas, Numpy, Scikit-learn, difflab
