https://matjournals.net/engineering/index.php/JFIHC <p><strong>JFIHC</strong> is a peer reviewed journal in the discipline of Computer Science published by the MAT Journals Pvt. Ltd. It is a print and e-journal focused towards the rapid publication of fundamental research papers on all areas of IoT-based Distributed Sensor Networks. The Journal aims to promote high quality empirical Research, Review articles, case studies and short communications mainly focused on Internet of things, Centralized and distributed data centers, Network and distributed operating systems, Web services, Semantic structures and related software tools, Cyber security compliance, Privacy compliance, Reliability compliance,Dependability compliance, Accountability compliance.</p> en-US Journal of Future Internet and Hyperconnectivity (e-ISSN: 3048-9210) https://matjournals.net/engineering/index.php/JFIHC/article/view/1767 <p><em>Effective communication is the foundation of a child's cognitive and social development, yet millions of children face speech challenges that hinder their growth. Traditional speech therapy, while essential, is often constrained by manual processes, a limited number of therapists, and assessment tools, making it less efficient. To bridge this gap, this paper introduces TherapyTalk, an AI-powered web-based clinical management system designed to revolutionize speech-language therapy for children aged 5 to 12. By leveraging artificial intelligence and machine learning, TherapyTalk automates the creation of personalized therapy plans, enables real-time progress monitoring, and provides data-driven assessments for therapy exercises. Additionally, the platform generates actionable clinical insights, empowering therapists with evidence-based decision support. By integrating digital innovation, TherapyTalk enhances therapy effectiveness, optimizes resource utilization, and offers a structured, scalable, and user-friendly approach transforming speech therapy into a more engaging and impactful experience for children and therapists.</em></p> Vinay Kakad Priyanka Bhusari Tanvi Karale Vanshika Dhonde A.R. Ladole Pratik Angaitkar Ajay B. Gadicha Copyright (c) 2025 Journal of Future Internet and Hyperconnectivity (e-ISSN: 3048-9210) 2025-05-28 2025-05-28 2 2 1 9 https://matjournals.net/engineering/index.php/JFIHC/article/view/2062 <p><em>This project aims to remove micro plastics from water through a five-module system comprising Micro plastic Detection, Filtration, Organic Substance Enrichment Decontamination, and Testing. Utilizing the CTF (Capture, Treat, Filter) method, the process begins with identifying micro plastic concentrations, followed by filtration to remove them from the water. The Decontamination module enhances water purification by removing additional hazardous contaminants The Organic Enrichment module ensures that organic material is balanced, preventing interference with filtration efficiency. Each module is managed by an admin responsible for employee registration, status checks, and access control. Employees collect data from previous modules, upload water quality parameters such as chemical composition, pH, and micro plastic levels, and perform calculations for accurate analysis. The Testing module serves as the final checkpoint, analyzing water purity, turbidity, and dissolved solids. This structured system ensures accurate data flow, proper coordination, and reliable water purification outcomes. Ultimately, the project delivers cleaner, micro plastic-free water while fostering collaboration and effective communication among all modules.</em></p> N. Sruthilaya E.N. Subarna Copyright (c) 2025 Journal of Future Internet and Hyperconnectivity (e-ISSN: 3048-9210) 2025-06-24 2025-06-24 2 2 10 15