The Well aware project aims to develop a health and wellness mobile application that empowers users to make informed product choices. With the health conscious consumer rate rising as it becomes a growing trend, sits at 50% of all consumers. This will allow this project to have a massive potential to be exposed to a big consumer group. Similar to other apps in this niche has reached 56 million users, which proves mass potential in this field. The app will utilize barcode scanning technology to identify household and personal care items and provide ratings based on their ingredient content whether if it is a risky ingredient and to be able to inform customers which products would best suit their needs (pregnancy safe, potential carcinogens ingredients, and etc). Similar niche to 'Think dirty' app, will be expanding to other categories in the future. By leveraging a database of scientific information, the app will analyze ingredients and offer insights into their health impacts. The project will involve building a robust database to store ingredient data and implementing AI algorithms to generate accurate and personalized ratings for the backend or front end. The goal is to create an intuitive and user-friendly app that helps users understand the ingredient value of their personal item choices and make healthier decisions.

- A functional mobile application capable of scanning barcodes and retrieving ingredient information.

- A comprehensive database containing scientific data on cosmetic and household ingredients.

-team comprising of backend, frontend, AI, machine learning, database, smart learning, and full stack

-tools used for this project: react native, express.js, flutter, third party API, web scraping, database language and more (specifically assigned among team members roles)

- A user-friendly interface that displays insights and recommendations.

- Documentation detailing the app's features, database structure, and AI implementation.