Blockchain for Certification of Origin for products

The project is to create an end-to-end system to trace agricultural products from farm-to-fork  (from production, distribution up to the customer).

The project use-cases are to be applied first in Portugal with the fruit, meat, rice and cheese industries.

The production records for the goods as well as relevant supply-chain events and sensor data is stored in the blockchain to be later retrieved by the customer mobile application.

The customer can use a mobile application that scans a QR code that will retrieve and display the relevant information from the blockchain and display it in a human readable format in the application. This goes much beyond today’s applications which scan a QR code that redirects to a generic page of the producer rather than an item based data log.

The aim of this project is to use available open source LLMs like Chat GPT-4 (Large Language Models) to create a self-hosted chatbot. Open source LLMs like Vicuna shall be used to train with proprietary data in an isolated server to create a chatbot to help users of Sensefinity use the system.

Artificial Intelligence applied to the logistics management

The aim of this project is to use available data in a big environment in order to improve operations in food and pharmaceutical logistic operations.

With the help of available data a classification algorithm shall be used to identify defective or malfunctioning refrigeration machines in the supply-chain.

Artificial Intelligence for impact detection

The aim of this project is to determine the most probable impact on a container based on the data provided by an impact sensor mounted on one side of the container.