Noor, JannatunPuja, Sreya SanyalNeha, Nahian NoorAlif, Ofia RahmanSultan, Tarannaum Jahan2023-12-102023-12-1020232023-05ID 19101358ID 19101365ID 19101625ID 19101348http://hdl.handle.net/10361/21942Cataloged from PDF version of thesis.Includes bibliographical references (pages 69-75).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.In today’s era of information and technology for promoting and maintaining both physical and mental health, high-quality healthcare services are crucial. Telecommu- nications service creates an opportunity to close the digital gap between marginal- ized women and mobile healthcare services. In a developing country like Bangladesh, people here still face deprivation of fundamental necessities. Individuals from low- income backgrounds typically cannot access private healthcare systems due to their financial constraints. Moreover, due to a lack of knowledge, they are unable to avail many public healthcare services as well. In Bangladesh, the healthcare system is financed by the supply side, allowing low-income households to receive medical treatments or at least basic healthcare. Also, in this study, we acknowledged under- privileged women are less aware of their physical as well as mental health. Even if they are aware, individuals may not receive medical aid or correct treatment due to a lack of basic medical assistance access. Besides, women have distinct healthcare difficulties than men, and they are also more likely to catch certain illnesses and diseases. In this paper, we are particularly focusing on deprived women who face various healthcare difficulties, including menstruation, gynecological, and mental disorders in Bangladesh. To address these challenges, we propose the use of voice bots in the telecommunication sector as a potential solution.75 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.Women’s healthcareMenstrual healthcareGynecological healthcareData analysisHuman-Computer Interaction (HCI)Fuzzy string matchingArtificial intelligenceUser interfaces (Computer systems)System designThesis