Project Update: College Starter AI
I am excited to share the first version of College Starter AI, a student-focused recommendation platform that helps users find the best laptops, smartphones, and earphones based on their budget and purpose.
Recent Progress:
- Built the web application using Python, Flask, HTML, CSS, and Pandas.
- Added separate recommendation modules for laptops, smartphones, and earphones.
- Implemented a scoring-based recommendation system to suggest suitable products.
- Added direct purchase links from trusted online platforms.
- Designed responsive and user-friendly interfaces for all recommendation pages.
- Created project documentation and a demonstration video.
Features:
- Laptop recommendations for Study, Coding, Gaming, Business, and other use cases.
- Smartphone recommendations for Photography, Gaming, Business, and Daily Use.
- Earphone recommendations based on sound quality, battery life, and value.
Next Steps:
- Improve recommendation accuracy.
- Expand the product database.
- Add more categories and filtering options.
- Deploy the application online for public use.
This project has helped me learn web development, data processing, recommendation systems, and UI design. More improvements are coming soon.
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