Springboard | UI/UX Design Project

Cadabble aims to solve the inefficiency of real-time service access by creating an AI-powered, geolocation-driven "map" search and booking platform. Existing platforms are fragmented, slow, and do not prioritize immediate solutions for users and businesses. Our goal is to streamline service discovery, booking, and secure payment in real-time while optimizing response times for both daily needs and critical emergencies.

Cadabble Web Application Enhancement

Cadabble is a Next.js web application that enables users to search for and book appointments and services. We have completed a proof of concept prototype and are currently seeking to complete development for the initial launch version. Key features that require further development are: searching, scheduling, booking, messaging, profile management, data logging and security features to keep user and site data safe. The primary goal is to complete development of these key features and our secondary goal includes refining the UI aesthetics and implementing a basic admin backend. This project provides an opportunity for learners to apply their knowledge and hone their skills relating to web development, UI/UX design and cybersecurity principles. The project requires for learners to have some experience with Javascript/Typescript, HTML and CSS and is best suited for learners with foundational web development experience who are looking to further develop their skills and gain practical experience working on a production-level application.

Artificial Intelligence & Machine Learning Application

Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Creating new dataset Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.