SMART PICK: A Smart Gadget Recommendation System

Smart Pick is a mobile first recommendation system designed to help users efficiently find the most suitable smart-phone or laptop. With the fast growth of technology, hundreds of gadgets are available in the market, and users often struggle to choose the right one. Many people spend hours browsing e-commerce websites, reading reviews, or watching comparison videos before making a purchase. This process is time consuming and often confusing for non-technical users. The proposed system, Smart Pick, reduces this problem by providing quick recommendations based on budget (INR) and user preferences such as gaming, camera, battery life, portability, or overall performance. The app is developed using Android Studio for the frontend and MySQL as the backend database. All gadget details such as specifications, pricing, and images are stored in a MySQL database. To generate recommendations, the application uses a a Rule-Based Filtering approach paired with a Content-Based Scoring model that matches user preferences against the dataset. The system then highlights the top three options, presenting each with an image, cost, key specs, and a brief explanation. This design helps users assist decision-making and with greater clarity. Testing with a sample dataset of smartphones and laptops showed that the app delivers accurate recommendations quickly. Smart Pick demonstrates how a lightweight recommendation tool can be built using accessible platforms like Android Studio and MySQL. Future upgrades may include live price updates, an expanded dataset, favorites, and comparison features.