DreamCode: Interactive Learning Platform

DrawDream seeks to develop an interactive web application similar to neetcode.io, aimed at enhancing coding skills through structured learning paths and problem-solving exercises. The project involves creating a user-friendly platform where learners can access a variety of coding challenges, tutorials, and resources. The goal is to provide an engaging learning experience that allows users to track their progress and improve their coding abilities. The application should include features such as user authentication, a dashboard for tracking progress, and a repository of coding problems categorized by difficulty and topic. The project will enable learners to apply their web development skills, focusing on front-end and back-end integration, user interface design, and database management.

Interactive Intranet UX/UI Design for DrawDream

DrawDream seeks to enhance its internal communication and collaboration through the development of an interactive intranet web application. The project focuses on creating a user-friendly interface that prioritizes intuitive navigation and engaging user experiences. The goal is to design a frontend that not only meets the aesthetic standards of modern web applications but also enhances functionality and accessibility for all employees. This project will allow learners to apply their knowledge of UX/UI design principles, and ReactJS create a prototype that aligns with DrawDream's brand identity. The team will conduct user research to understand employee needs and preferences, ensuring the final design is both practical and visually appealing.

AI-Powered Chat System Development

The goal of this project is to develop a robust AI-powered chat system for DrawDream, utilizing cloud infrastructure and modern programming languages. The project involves setting up an AWS-based cloud environment to host the backend of an AI application. This will provide a scalable and secure platform for the AI model to operate efficiently. The team will create a stream backend API using Rust, a language known for its performance and safety, to handle queries and invoke the AI model. Additionally, a user-friendly chat system frontend will be developed to facilitate seamless communication between users and the AI model. This project offers learners the opportunity to apply their knowledge of cloud computing, API development, and frontend design, integrating these skills into a cohesive system.