International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE

Recognizing Individual Faces of Variable Sizes using a Face Recognition Algorithm

Rasha Awad — 2025-03-10

Face recognition that uses a person's face to identify or verify their identification is called face recognition. It functions by recognizing and quantifying face features in a picture. Technologies that use facial recognition can identify faces in photos or videos, identify if two faces are of the same person, or look for a particular face in a vast library of previously taken photos. When users enroll or log in, biometric security systems use facial recognition technology to uniquely identify each person. The objective of study is to detect and identify face in coloured images ( single or multiple faces) of human. A statistical algorithm based on skin color information, together with the facial features representing holes such as the eye or mouth, was applied. The study involved, among other things, the influence of the type of colored pictures employed in the test was examines, as human images from different races were used. The results confirmed this technology's success in identifying each person's individual face within the group.

Design and Development of AI Driven Mental Health Support System for Teenagers

Jacob Zulu — 2025-03-10

Mental health issues among teenagers are on the rise due to academic stress, social pressures, and the challenges of adolescence. Access to timely and effective mental health support is crucial, yet traditional methods of seeking help may feel intimidating or inaccessible to many young people. This project focuses on developing an AI-driven mental health support app tailored for teenagers, aimed at providing a safe, accessible, and personalized platform for emotional well-being. The app leverages artificial intelligence to offer empathetic, real-time support through an AI-powered Chabot that can engage users in meaningful conversations, detect emotional cues, and provide relevant coping strategies. Key features include a mood-tracking system to help users log and identify emotional patterns, personalized self-care plans, and access to a library of mental health resources. Additionally, the app integrates crisis intervention features, enabling immediate connection to professional support or helplines when high-risk behaviors are detected. Data privacy and security are prioritized, with advanced encryption and authentication mechanisms ensuring sensitive user data remains confidential. The app's user-friendly interface and scalable design make it adaptable to diverse educational and social settings. Regular updates and user feedback loops drive continuous improvements, ensuring the app remains relevant and effective in addressing the mental health needs of teenagers. This innovative AI-driven solution aims to enhance the accessibility, efficiency, and effectiveness of mental health support for teenagers, empowering them to manage their well-being with confidence and fostering a proactive approach to mental health care.

Subject Review: Cyberbullying and Detection Methods

Amal Abbas Kadhim — 2025-03-10

Cyberbullying is a prevalent issue on social media, causing significant mental and social harm to victims. This review highlights cutting-edge cyberbullying detection technologies, concentrating on machine learning (ML), deep learning (DL), and natural language processing (NLP). The learners are categorized into supervised, unsupervised, and hybrid models, highlighting their pros and cons. This article covers common research datasets, including social media comments, and addresses difficulties including data imbalance, linguistic diversity, and context interpretation. Future efforts include developing context-sensitive models, improving on-the-fly detection, and addressing ethical concerns in automated system deployment.

Design and Development of an online Fund Transfer System with Data encryption standard and One-Time-Password

Daisy Mwelema — 2025-03-10

This paper aims to provide a robust online fund transfer system with enhanced security features in order to address the widespread use of online fund transfers through Internet Banking and the increasing risk of cyber-attacks. The objective of this paper is to create a system that combines the Data Encryption Standard (DES) cryptographic algorithm and a One-Time Password (OTP) authorization mechanism. This system aims to improve online security in financial transactions, specifically for Zambian financial service providers. By employing DES encryption, which is widely recognized for its strong encryption capabilities, the confidentiality and integrity of crucial transaction details are safeguarded when transmitted over the internet. In addition, the incorporation of OTP provides an additional level of security, necessitating users to verify their transactions by using a distinct OTP issued to their registered mobile devices. This methodology demonstrates a dedication to establishing higher benchmarks in safe online fund transfers, with the goal of offering Zambian financial service providers and consumers a robust and reliable platform for their digital banking requirements. The project has several ramifications, such as reducing the risks related to cyber-attacks, increasing confidence in online financial transactions, and supporting the development of digital financial services in Zambia and other areas.