and positive role modeling of protagonist Dr Sneha , who leaves behind a lucrative medical practice in Mumbai and returns to her home village Pratappur after her sister ’ s death from a forced abortion . She then stays on to tackle multiple social ills - child marriage , sex selection in favour of male offspring , violence against women and girls , and many other manifestations of gender inequality
Objective : The study aimed to utilize the Gibson theory of affordances to examine SnehAI and provide scholarly guidance on how AI chatbots could be employed to educate adolescents and young adults , promote sexual and reproductive health , and advocate for the health rights of women and girls in India .
Methods : An instrumental case study approach was adopted , enabling the exploration of SnehAI from the perspectives of technology design , program implementation , and user engagement . A combination of qualitative insights and quantitative analytics data was utilized to triangulate the findings .
Results : SnehAI demonstrated substantial evidence across fifteen functional affordances , including accessibility , multimodality , nonlinearity , compellability , queriosity , editability , visibility , interactivity , customizability , trackability , scalability , glocalizability , inclusivity , connectivity , and actionability .
Over a 5-month period , SnehAI engaged its users effectively , particularly young men , with 8.2 million messages exchanged . Nearly half of the incoming user messages comprised deeply personal questions and concerns regarding sexual and reproductive health and related topics . Overall , SnehAI established itself as a trusted companion and mentor , offering entertaining and educational content ,
while the natural language processing system personalized chatbot responses and enhanced user experience .
Conclusions : SnehAI represented an innovative , engaging , and educational intervention that enabled vulnerable and hard-to-reach population groups to discuss and learn about sensitive and important SRH issues . The success of SnehAI underscored the significant potential of AI technologies for societal good .
SnehAI , an innovative , discreet and inclusive platform , encourages open discussions on sensitive topics like safe sex and family planning , offering users accurate information and resources . By harnessing AI technologies , SnehAI showcases the transformative power of technology in promoting societal wellbeing , addressing critical SRH issues , and facilitating informed conversations on vital subjects .
Let ’ s pivot back to our understanding and address our beneficiary knowledge , beliefs , motivations , curiosities , challenges , experiences and attitudes towards family planning , and dive into specific areas AI and Chatbots can be a game changer for family planning in LMIC ’ s .
Today through Self-Monitoring , Analysis , and Reporting Technology ( S . M . A . R . T ) and other Software as a Service ( SaaS ) apps we can understand targeted individuals ’ audiences , social economic , environment dynamic angles ,
Influencing Decisions with Informed Insights
Leveraging AI-powered mobile tracking , monitoring , evaluating , and predictive analytics of lifestyle choices enables healthcare providers , marketers , and
Family planning has traditionally relied on personal interviews and self-reported data to assess the effectiveness of contraceptive methods and family planning strategies . The integration of artificial intelligence ( AI ) and digital data promises to bring a new level of precision , objectivity , and personalized care to family planning services . businesses to gain deeper insights into consumer preferences , behaviors , and needs . By understanding the unique health profiles , goals , and motivations of beneficiaries-consumers , targeted strategies can be developed to influence decisions and drive engagement with family planning products and services .
For instance , AI-driven personalized recommendations for fitness equipment , dietary supplements , health and wellness programs , or preventive healthcare services can be tailored to individual preferences , goals , and lifestyle choices . By delivering relevant , timely , and personalized content , offers , and interventions , businesses can enhance consumer engagement , satisfaction , and loyalty while promoting healthier lifestyles and better health outcomes .
AI-driven health interventions can improve health outcomes in Low Middle , Income Countries ( LMICs ). The global health community must move fast to establish standards for development , testing , and use as well as to create a user-driven research agenda to promote fair and ethical use . Despite the fact that some of the challenges in designing and executing these treatments may not be specific to certain locations .
It is now imperative for the development sector programs to adopt Ai based strategies to increase reach and impact in every facet of program planning , development and execution .
Revolutionizing Family Planning Through AI and Digital Data
Family planning has traditionally relied on personal interviews and self-reported data to assess the effectiveness of contraceptive methods and family planning strategies . The integration of artificial intelligence ( AI ) and digital data promises to bring a new level of precision , objectivity , and personalized care to family planning services .
The Complexity of Evaluating Family Planning Success
Family planning involves a wide range of factors , including contraceptive use , reproductive health , fertility preferences , and socio-economic conditions . Unlike other medical fields where objective measures such as blood pressure , heart rate , or lab results can be used to assess outcomes , family planning often deals with subjective experiences and preferences . This complexity makes it challenging to accurately measure and evaluate
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