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BookaBite is a dual-mode mobile application designed to streamline the restaurant booking experience for both customers and restaurant owners. The app features two dedicated interfaces: a consumer mode for users and a restaurant mode for business owners, enabling efficient interaction between both sides of the platform.
For users, the application solves a common real-world problem — long waiting times at busy restaurants. Through BookaBite, customers can browse restaurants and reserve tables in advance, ensuring a smooth and hassle-free dining experience without the need to wait in queues.
On the business side, restaurants can manage table availability, handle bookings, and optimize seating operations more effectively.
A key highlight of the project is the integration of an AI-powered chatbot, designed to enhance user experience by assisting with table bookings, answering queries, and providing real-time support. This intelligent assistant allows users to interact conversationally within the app to make reservations or get booking-related information.
The application was built with a focus on responsive UI, clean architecture, and seamless database integration, ensuring reliable performance and scalability.
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The trick here is everything related to feature engineering. We wrote a piece titled “Feature engineering decides machine learning outcomes” to share our thoughts on this quasi-"mystic" exercise.
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It breaks down the essentials, from understanding your data’s structure to choosing well-validated features.
Read the full piece here: https://www.algorithmic.co/blogs/feature-engineering-decides-machine-learning-outcomes
Wow, this is sick. the cover as well as the article
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