Status: Completed
Project Duration: 26 Nov 2022 - 17 Dec 2022
Open Source resources available from this project
Project background.
Due to the world’s aging population, a critical issue is the lack of nursing facilities and caretakers. The number of potential caregivers between the ages of 45 and 64, which is the most prevalent caregiving age range, is known as the caregiver support ratio (CSR). People over the age of 80 are the subset of older persons who are most at risk of needing long-term services and support. According to research based on 2011 data from the CENSUS HUB database which includes France among other Mediterranean countries. France was found to have a CSR of 6:1. Which means it has around 6 prospective caregivers for every elderly person. This number has been drastically reduced owing to several negative influences in recent years; world wide pandemic has discouraged much physical interaction especially with the fragile elderly people. It is both economical and more effective to allow artificial intelligence systems to manage the basic aspects of interaction with the elderly.
Project plan.
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Week 1
Planing, Domain Research – Data Acquisition – EDA (workshop)
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Week 2
Data Pre-processing – Rules-based/Modeling baselines (workshop)
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Week 3
ML Algorithms selection & evaluation – Deployment (workshop)
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Week 4
Reports/Articles and Presentations (templates)
Learning outcomes.
Data Pre-processing & Data Insights. An interactive chart/plot on sample conversations.
Exploratory Data Analysis (EDA)
NLP: Conversation Modeling
