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Time series analysis and forecasting for the road traffic accidents.

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dc.contributor.author Dasanayake, Isuranda
dc.date.accessioned 2024-03-29T07:36:26Z
dc.date.available 2024-03-29T07:36:26Z
dc.date.issued 2023
dc.identifier.citation Dasanayake, Isuranda (2023) Time series analysis and forecasting for the road traffic accidents. BSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 2019603
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1949
dc.description.abstract "The escalating global prevalence of obesity and associated health risks necessitates innovative solutions to promote healthier lifestyles. This thesis presents a comprehensive exploration of a BMI Calculator and Diet Plan Recommendation System designed to address this critical issue. The system is developed to provide users with personalized insights into their body mass index (BMI) and tailored diet recommendations to support their weight management and overall well-being. The research begins by delving into the theoretical foundation of BMI, its significance in assessing an individual's weight status, and its implications for health. Moreover, it examines the limitations of the traditional BMI calculation and underscores the need for a more nuanced approach to health assessment. The primary contribution of this study is the development of an intelligent BMI calculator that considers not only an individual's weight and height but also factors such as age, gender, physical activity level, and medical history. By incorporating machine learning algorithms, the system generates a more precise and individualized BMI measurement, thereby enhancing the accuracy of health assessments. Furthermore, the research delves into the creation of a diet plan recommendation system that complements the BMI calculator. Leveraging user input, including dietary preferences, restrictions, and goals, the system generates personalized diet plans that align with each individual's unique health objectives. A series of empirical studies and evaluations have been conducted to validate the system's accuracy and effectiveness, demonstrating promising results in helping users make informed dietary choices and improve their overall health. This research bridges the gap between BMI assessment and dietary guidance, providing a holistic approach to weight management and well-being. The BMI Calculator and Diet Plan Recommendation System presented herein holds great potential for encouraging healthier lifestyles, mitigating obesity-related health issues, and ultimately contributing to the well-being of individuals and societies at large. " en_US
dc.language.iso en en_US
dc.publisher en_US
dc.subject TSA-Time series analysis en_US
dc.subject ARIMA-autoregressive integrated moving average en_US
dc.subject SARIMA-Seasonal Autoregressive Integrated Moving Average en_US
dc.title Time series analysis and forecasting for the road traffic accidents. en_US
dc.type Thesis en_US


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