Hi everyone,
I would like to share my app for 
Summer Dash app-building challenge which I deployed on [Render](Amazon Dashboard)
GitHub Repository: https://github.com/mayaradaher/challenge-Amazon
The Dash application is distinguished by its database cleaning and the use of the Parquet format, which optimizes storage and reduces the database size.
Page 1: Purchase overview
The application provides a detailed view of purchases from 2018 to 2022. Data can be analyzed year-over-year using an interactive filter, allowing users to explore and understand purchases trends.
Page 2: Customer demographics
In addition to purchases data, the application provides a demographic analysis of users, including gender, age, education level, household income, and geographic distribution by state.
Page 3: Book Recommendation Chatbot
Recognizing the importance of books as the primary product sold, a dedicated page for personalized book recommendations was created. These recommendations are generated by the Gemini language model, which analyzes each user’s profile and book purchase history to offer highly relevant suggestions.
App GIF
