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We provide BI for supply chain resilience.
This is our solution to the task given by Qualcomm.
Granny's Watch exists to be able to detect when an elderly person's health is in immediate danger. Based on a voice message, can detect when a person is in danger, a marker is placed on a public map.
Algorithm that minimizes the average length of chains that connect pins in a chip.
The suply chain sometimes get's affected by some delays that might be avoided by making some changes on it. A detailed analyisis on data allowed us to asses whitch factors could conntribute to a delay
Virtual Doctor is a voice assistant designed mainly for elderly people to predict some diseases based on the asked symptoms.
Get the shortest paths
Use a simple and easily improvable heuristic to achieve good performance in not much time on the routing problem for the Qualcomm challenge
Chain pin clustering optimization in nanochips
Prediction model and main insights of dataset of Datathon Accenture Cahllenge at UPC Datathon 2022 at Mats and Statistics University of UPC
Machine learning to predict late arrivals.
This is the challenge proposed by the company Accenture in the UPC datathon 2022.
Analyzing samples from a supply chain database to accurately predict delays in order fulfilment and developing data-driven bussiness proposals to add value to the enterprise.
This project provides a model to predict likelihood of order delay
Predicting and Describing delayed deliveries in Supply Chain Management
Actionable insights into the supply chain in Europe using data analytics.
We are three computer science students enrolled in the Barcelona school of informatics and we decided to do the Accenture challenge because of our strong interest in the field of Data Science and ML.
Implementing Machine Learning for supply chain understanding
ILT
We solved the mTSP with 3 different approaches: Genetic Algortihm, LP optimization and clustering.
In an ever changing world, resilient supply chains can make or break a business. We delved into the challenge to and created a project to help companies brace themselves against such dangers.
Algorithm with great core idea
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