Saige Software Developer Project 2

The goal of this project is to design, develop, and maintain web applications for Saige, a dynamic and innovative tech company specializing in cutting-edge software solutions. This will involve several different steps for the students, including: - Utilizing React.js to build user-friendly and responsive web interfaces. - Developing server-side logic using Python to handle requests, data processing, and integration with databases. - Designing, optimizing, and maintaining MySQL databases. - Creating and maintaining RESTful APIs to facilitate communication between the front-end and back-end components of our applications. - Conducting thorough testing of software components, identifying and addressing bugs and performance issues, and implementing solutions. - Collaborating with cross-functional teams to understand project requirements, provide technical insights, and contribute to the overall success of the project. - Creating and maintaining clear and comprehensive technical documentation for code, APIs, and databases. - Implementing security best practices to safeguard data and protect against potential vulnerabilities.

Artificial Intelligence & Machine Learning Application

Our company advertises lot of products and programs and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We recently created an AI powered mentorship and coaching platform using ChatGPT and would like to enhance and create an extension that can be accessible through all our sites and possibly though an app. 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. Review our current AI-Powered platform and adding any enhancements Analyzing our current 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.