Local Chapter Gaborone, Botswana Chapter
Coordinated byBotswana ,
Status: Completed
Project Duration: 07 May 2023 - 09 Jul 2023
Traffic accidents are a global concern, causing significant loss of lives and financial damages. According to the World Health Organization (WHO), traffic accidents lead to almost 1.3 million preventable deaths and an estimated 50 million injuries annually, making it the leading cause of death for children and young people worldwide. Furthermore, it is expected that these numbers will continue to rise over the next decade, hampering sustainable development, particularly in low and middle-income countries.
In Botswana, traffic accidents are one of the leading causes of death and injury, with many accidents attributed to human error, speeding, and poor road infrastructure. According to WHO, Botswana’s fatality rate of 20.1 per 100,000 people is higher than the global average of 17.1. Furthermore, with a population of only 2 to 2.5 million, Botswana has recorded 184,548 road accidents between 2011 and 2020.
Traffic accidents are a major concern in Botswana, leading to the loss of many lives and significant financial losses. Here are some of the problems
– Economic losses: Road accidents in Botswana lead to significant economic losses, both for individuals and the government. Many individuals incur high medical bills and lose their sources of income due to injuries sustained in accidents. Motor Vehicle Accident Fund (MVA) spending over P40 million (US$ 3.8 million) annually on medical bills and claims due to accidents.
– Impact on mental health: Road accidents can have long-lasting psychological effects on individuals and families. Survivors of accidents may experience anxiety, depression, and post-traumatic stress disorder (PTSD), while families of victims may suffer from grief and emotional distress. The impact on mental health can have far-reaching consequences, affecting not only individuals but also their families and communities.
Week 1
Task-0: Literature Review,
Week 2
Task1:Data collection,
Task2:Data pre-processing,
Task 4: The models research phase
Week 3
Data pre-processing,
Week 4
Task 3/4: Implementing the models
Task 5: preparation for data visualization, Implementing the models
Week 5
Data visualization and Deployment
The project aims to provide participants with practical experience in:
– Enhancing problem-solving, critical thinking, and analytical skills.
– Developing technical skills in data collection, analysis, and machine learning. – Improving communication, teamwork, and project management skills.
– Gaining practical experience in developing and implementing a real-world solution.
– Understanding the ethical and social implications of using technology to address societal issues.