Data Centralization and Dashboard Creation for Nonny Beer

The main goal for the project is to create a database and dashboard that centralizes data from different platforms like Stripe, Shopify, and wholesale ordering platforms. This will allow Nonny Beer to pull correct data points such as total sales per account, active account list, velocity of product sales per account, and last reorder date by account. This will involve several different steps for the learners, including: - Analyzing the data stored across different platforms. - Designing and creating a database to centralize the data. - Developing a dashboard to visualize the centralized data. - Testing the database and dashboard for accuracy and efficiency. - Implementing security measures to protect the centralized data.

AI-Powered Activity Recognition with CUDA

Gold Sentinel is focused on enhancing its capabilities in activity recognition by leveraging AI models developed using CUDA. The goal of this project is to create efficient and accurate AI models that can recognize and categorize various activities from a given dataset. This project will allow learners to apply their knowledge of AI, machine learning, and CUDA programming to solve real-world problems. The team will work on optimizing model performance and ensuring that the models can run efficiently on GPU hardware. This project will provide valuable insights into the integration of AI and CUDA for high-performance computing applications. - Develop AI models for activity recognition using CUDA. - Optimize model performance for GPU execution. - Test and validate models using a provided dataset. - Document the development process and results.