International Journal for Research in Applied Science and Engineering Technology

The proliferation of chronic diseases and the limitations of conventional hospital-centric care have intensified global demand for accessible and secure remote health monitoring solutions. This paper presents the design, implementation, and evaluation of a low-cost, Internet of Things (IoT)-based health monitoring system capable of continuously measuring heart rate and peripheral oxygen saturatio…

The current paper investigates how stray animals inurbanIndiafacechallengeseachdaytoobtainenoughfood. Rather than a lack of empathy from humans, the problem stems from a failure to create a systematic method for transforming empathy into practical actions. In response to this gap, the SAFAR (Stray Animal Feeding Artificial Intelligence Reward) application was created. SAFAR is a mobiletoolthatuse…

Leaf diseases pose a serious difficulty challenge in the management of mango growers and may cause significant yield loss if diagnosis is delayed. In this paper, we describe a novel deep learning-based approach for the classification of diseases in mango leaves using images. The method proposed takes advantage of a pretrained MobileNetV2 model to predict whether a leaf image is healthy or belongs…

Chhattisgarh’s tribal arts and crafts heritage is rich and varied, spanning Bastar wood and metal work, bamboo, terracotta, and tribal paintings[1][2]. Yet artisans often lack market access. This report analyzes target users (artisans and buyers), the competitive landscape (e.g. Amazon Karigar, India Handmade, Craftsvilla, GoSwadeshi, AUTH India etc.), and legal requirements (auction laws, e-comm…

Attendance management plays a crucial role in academic institutions, yet traditional methods often face challenges such as time consumption, human errors, and the possibility of proxy attendance. Inaccurate attendance tracking can lead to poor monitoring of student participation, lack of transparency, and delayed communication with parents. To address these issues, this project presents an Automa…

This study presents the experimental investigation and optimization of tensile strength of carbon fiber reinforced polylactic acid (CF-PLA) composites fabricated using fused deposition modeling (FDM). The influence of key process parameters, namely layer height, infill density, nozzle temperature, and print speed, was analyzed using the Taguchi L9 orthogonal array. Tensile testing was performed a…

The rapid evolution of digital technologies has sig-nificantly transformed the education sector, enabling institutions to move toward smart and connected campus environments. However, many colleges still rely on traditional systems that are fragmented, inefficient, and unable to provide real-time access to academic and administrative information. This paper presents SNPSU (Smart Network Platform …

The biggest hurdle for students entering the job marketisn’talackoftechnicalknowledge-it’salackofre-alistic interview practice. Students often fail interviews due to nervousness, poor communication, or the inability to articulate their skills under pressure. In this paper, we break down the design and testing of ”Neuro-Hire AI,” a web-based mock inter-view platform that gives students 24/7 access…

The Advanced Electric Cycle project focuses on designinganddevelopinganefficient,eco-friendly,andcost-effective electric bicycle to reduce fuel dependency and environmental pollution. The system integrates a Brushless DC (BLDC) hub motor, motor controller, lithium-ion battery, throttle control, pedal assist sensor (PAS), and digitaldisplay unit to provide smooth and intelligent riding assistance.…

Cardiovascular mortality remains a major global health issue. A significant number of deaths could be prevented with timely risk identification. This study presents a machine learning framework called the Heart Attack Prediction System (HAPS), which uses XGBoost as its main predictive engine. The model is trained on a combined set of 12,000 records from two publicly available sources: the UCI Cle…

In the aftermath of catastrophic events, the immediate collapse of terrestrial communication infrastructures critically hinders search and rescue operations during the vital "Golden Hour." While substantial research has explored ad-hoc networking, IoT meshes, and UAV relays to restore connectivity, many paradigms remain tethered to specialized hardware or cloud-synchronized control planes. This s…

This paper presents an AI-based Credit Score System that evaluates the creditworthiness of individuals and businesses using PAN-based validation, verified credit bureau data, and machine learning. The system ensures strict data integrity by generating credit scores only when all required financialandbureauinformationispresent,preventingdummy orhardcodedvalues.Thefrontend,builtwithReact,providesa …

Malnutrition continues to threaten public health across many developing regions, where late identification of at-risk individuals often translates into avoidable suffering and long-term developmental harm. This paper introduces a quantuminspired artificial intelligence framework that brings together natural language processing, classical machine learning, and parameterized quantum circuits to pre…

Eye-related disorders are rapidly increasing due to modern lifestyle factors such as prolonged screen exposure, accidental injuries, and delayed medical consultation. Among these conditions, Hyphema is a serious ocular issue characterized by the presence of blood in the anterior chamber of the eye. If not detected at an early stage, it may lead to complications such as blurred vision, increased i…

Multi-Agent Artificial Intelligence systems are increasingly applied to complex, domain-specific problems requiring continuous monitoring, contextual understanding, and coordinated intervention. This paper presents Swasthya Initiative, a multi-agent AI framework for student mental health assessment and support built using React, Node.js, Express, MySQL, and AI APIs such as Claude and HuggingFace.…

The rapid expansion of professional networking platforms has created vast opportunities for personalized career guidance. LinkedIn provides rich user data including skills, education, work experience, endorsements, and professional interests. This project proposes the design and implementation of a Job Recommendation System that leverages LinkedIn user profiles to suggest relevant career opportun…

Parkinson’s disease is a progressive neurological disorder that affects move ment and motor control, and early detection plays a critical role in improving patient care and treatment outcomes. This project, titled “Parkinson’s Disease Detection Using Spiral, Wave and MRI Images,” presents an intelligent web-based system that utilizes deep learning techniques to automatically detect Parkinson’s di…

Voice cloning has become a rapidly evolving field in artificial intelligence and speech processing. Recent advances in deep learning have made it possible to replicate human voices with remarkable accuracy using relatively small datasets. At the core of this technology lies the ability to analyze and interpret audio signals in order to capture the unique characteristics of a speaker’s voice. Audi…

Vehicle-to-Vehicle (V2V) communication is a crucial component of Intelligent Transportation Systems (ITS) that enables real-time data exchange among vehicles to improve road safety and traffic efficiency. This paper presents a Wi-Fienabled vehicle to vehicle communication system using ESP32 modules for scalable deployment. Conventional vehicle safety systems rely heavily on driver perception and …

In this paper, the ReadIQ project is introduced, an advanced digital bookstore with AI-based personal recommendation, learning support, and user engagement functionalities. The platform combines web-based technologies and AI in order to implement features like AI-based book recommendation, discounted pricing based on quizzes, rewards with a spin wheel, AI-based searching of books and studies with…