Peqish Food Company aims to enhance its existing NAOHI technology scoring system by migrating it from a static JSN hard-coded file to a dynamic, user-friendly front-end web portal. The current system relies heavily on Excel files for data entry, which is cumbersome and inefficient. The new system should allow users to easily input data through a web interface. Additionally, the project will incorporate an AI/ML component to train the algorithm for better accuracy and adaptability. The system will also need to integrate with online nutritional databases and standard programs like Recipal via API. This project will enable Peqish to streamline its nutritional scoring process, making it more efficient and scalable.

- A dynamic front-end web portal for easy data entry.

- Integration of AI/ML components to train and improve the scoring algorithm.

- API integration with online nutritional databases and standard programs like Recipal.

- Documentation detailing the system architecture, user guide, and API usage.

- A final presentation demonstrating the functionality and benefits of the new system.

The team and I will be available to address any specific questions that may arise and support the successful completion of the project.