https://journalcjast.com/index.php/CJAST <p style="text-align: justify;"><strong>Current Journal of Applied Science and Technology (ISSN:&nbsp;2457-1024)</strong>&nbsp;is dedicated to publish research papers, reviews, case studies and short communications from all disciplines of science and technology. By not excluding papers on the basis of subject area, CJAST facilitates the research and wishes to publish papers as long as they are technically correct and scientifically motivated. Subject areas cover, but not limited to, medicine, physics, chemistry, biology, environmental sciences, geology, engineering, agriculture, biotechnology, nanotechnology, arts, education, sociology and psychology, business and economics, finance, mathematics and statistics, computer science, social sciences, linguistics, architecture, industrial and all other science and engineering disciplines. By not excluding papers based on novelty, this journal facilitates the research and wishes to publish papers as long as they are technically correct and scientifically motivated. The journal also encourages the submission of useful reports of negative results. This is a quality controlled, OPEN peer-reviewed, open-access INTERNATIONAL journal.</p> en-US [email protected] (Current Journal of Applied Science and Technology) [email protected] (Current Journal of Applied Science and Technology) Wed, 10 Jun 2026 06:22:28 +0000 OJS 3.3.0.21 http://blogs.law.harvard.edu/tech/rss 60 https://journalcjast.com/index.php/CJAST/article/view/4714 <p>The transition from mass communication to data-driven digital engagement has increased the importance of artificial intelligence in marketing practice and organisational decision-making. This study examines the role of Generative AI in personalised marketing campaign design and content automation. It aims to assess how Generative AI supports personalised communication, evaluate AI-based content automation techniques, analyse the benefits and limitations of AI-generated campaigns, and propose a framework for AI-driven personalised marketing. The study adopts a quantitative secondary research design and synthesises evidence from peer-reviewed literature and authoritative industry reports published between 2021 and 2026. Sources were retrieved from Scopus, Web of Science, Google Scholar, and major consulting reports, and were analysed through thematic, comparative, and trend analysis. The findings indicate that Generative AI can support personalised marketing by using behavioural, demographic, and engagement data to generate customer-specific recommendations, advertisements, emails, and multi-channel communication. The analysis also shows that content automation can reduce the time, labour, and cost associated with content production while improving consistency and supporting real-time campaign optimisation. The proposed framework comprises five layers: data collection, AI processing, content generation, campaign delivery, and analytics. It is supported by performance indicators such as a Personalisation Score, customer engagement rate, and campaign conversion rate. However, the study also identifies important limitations, including data privacy requirements, regulatory compliance, algorithmic bias, fairness concerns, and risks associated with inaccurate or misleading AI-generated outputs. The study concludes that Generative AI can strengthen marketing effectiveness when it is implemented with transparency, governance, continuous monitoring, and appropriate human oversight.</p> K. Krunal Yadav, Gajjala Lilly Rani, Ankatwar Gajanan, Narote Preetham, Alurwad Tripat Venkatreddy Copyright (c) 2026 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://journalcjast.com/index.php/CJAST/article/view/4714 Sat, 20 Jun 2026 00:00:00 +0000 https://journalcjast.com/index.php/CJAST/article/view/4711 <p><strong>Introduction:</strong> Breastfeeding provides the optimal nutritional source to ensure harmonious infant growth and development. Exclusive breastfeeding (EBF) is defined as an infant receiving only breast milk during the first six months of life, without any other liquid or solid intake. Globally, 38% of infants benefit from EBF during their first half-year of life. In Chad, this rate drops concerns to only 7.3%.</p> <p><strong>Aims</strong>: The study aims to evaluate the dietary practices and nutritional status of infants aged 0 to 6 months (drawn from a 0–23 month cohort) in order to formulate recommendations to promote breastfeeding in N’Djamena.</p> <p><strong>Methodology:</strong> This descriptive cross-sectional study was conducted within four health districts in the city of N’Djamena. Data were collected through direct face-to-face interviews with mothers using a questionnaire, supplemented by anthropometric measurements of the infants. Data processing and statistical analysis were performed using IBM SPSS software version 25.0.</p> <p><strong>Results:</strong> The study reveals a low rate of exclusive breastfeeding during the first six months, standing at only 9.9%. Concurrently, a high prevalence of malnutrition was observed among the children: 16.4% for acute malnutrition (wasting), 32.9% for the chronic form (stunting), and 30% for underweight.</p> <p><strong>Conclusion:</strong> This study demonstrates that inadequate dietary practices severely impact the nutritional status of infants. To sustainably reduce infant malnutrition in Chad, it is imperative to design strategies based on nutritional education. Such interventions would optimize mothers' feeding habits and ensure better growth outcomes for children.</p> Abdel-Aziz Ousmane Mahamat, Al-Lamadine Mahamat, Abakar Idriss Lawane, Abdoullahi Hissein Ousman, Brahim Adoum Ahmat, Mahamat Bechir, Foumsou Lhagadang Copyright (c) 2026 Author(s). The licensee is the journal publisher. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://journalcjast.com/index.php/CJAST/article/view/4711 Wed, 10 Jun 2026 00:00:00 +0000