Secure Web Application Enhancement

Noumerica Data Security Inc. is looking to enhance the security and functionality of one of its existing web applications. The project involves developing and maintaining the web application by adding new features and improving existing ones. The team will collaborate to design and implement these features, ensuring they align with cybersecurity best practices. Additionally, the project will require participation in code reviews to enhance code quality and support in troubleshooting and resolving any software issues that arise. The project aims to provide learners with hands-on experience in web development, cybersecurity, and collaborative software engineering. Key tasks include: - Developing new features using Python, JavaScript, HTML, and CSS. - Utilizing frameworks such as React, Django, and Flask. - Implementing numerical computations with NumPy. - Enhancing UI/UX design based on Figma prototypes. - Ensuring the application adheres to cybersecurity principles.

🦾Scalable Express.js & Cloud API Backend for a Smart Mobile Health App

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.