International Journal for Research in Applied Science and Engineering Technology

Food freshness is a critical factor influencing public health, food safety, and the reduction of food waste across domestic, commercial, and industrial environments. Traditional freshness assessment methods based on visual inspection, odor perception, and expiration labels are often subjective, inconsistent, and incapable of detecting early stages of spoilage. This study presents a Real-Time Food…

The research trains and evaluates multiple CNN architectures, including Basic CNN, AlexNet, VGG16, and EfficientNet B0, to enhance the accuracy of plant disease identification. Each model was tested using the New Plant Diseases Dataset from Kaggle, which includes various plant species and diseases, in order to assess performance, accuracy, and efficiency. The trained models were subsequently inte…

The fortification of Omega-3 fatty acids in food products has gained significant attention as an area of research and innovation due to their vital role in human health and the widespread deficiency observed across global populations. Omega-3 fatty acids, particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are essential for cardiovascular health, cognitive function, inflammat…

Concrete and masonry dams subjected to prolonged seepage undergo progressive physicochemical deterioration through calcium leaching, wherein calcium hydroxide (Ca(OH)₂) dissolvesand migrates with seepage water, compromising cement paste integrity. This study investigates cementitious material collected from seepage-affected drainage galleries of two major Maharashtra dams—Upper Wardha Dam (Amrava…

Due to environmental pollution, psychology stress, hormonal imbalance, unhealthy nutrition and the overuse of synthetic cosmetics, hair loss, dandruff, premature greying, hair thinning, and scalp disorders have become more common in recent years around the world. Despite the availability of a number of synthetic drugs for treatment of hair related disorders, it is to be noted that very few of the…

The growing number of conflicts between humans and animals, caused by quick urban growth, cutting down forests, and breaking up natural habitats, has become a major issue in recent times. As animals lose their homes, they are pushed closer to people's areas looking for food and shelter, which leads to risky situations that put both people and wildlife in danger. To tackle this problem, this paper…

Steam turbine reliability depends upon the combined stability of the steam path, condenser system, lubrication system, rotor-bearing dynamics, and protection system. A trip of a 60 MW condensing steam turbine occurred during a routine cooling water (CW) pump changeover operation. Initial investigation identified condenser vacuum may deterioration following temporary reduction in cooling water flo…

Oxygen-rich places like ICUs and operating rooms are tricky when it comes to electrical safety. There’s just more danger—fires and explosions become a real threat if something goes wrong with the wiring. Higher oxygen levels make it way easier for sparks to start a fire, especially if you’ve got things like leakage currents, worn-out insulation, or equipment acting up. Most of the time, you prote…

Digital communication has been rapidly evolving resulting in a growing need for new types of highly secure and scalable chat applications that can address the current needs of users. More specifically, users need instant messaging systems that are both reliable and responsive while allowing for multiple concurrent users and protecting the privacy and security of their data. This paper presents th…

With an ever increasing concern over environmental issues associated with the production of Ordinary Portland Cement (OPC) and also the need for managing wastes, researchers are looking into supplementary cementitious materials (SCMs).Rice Husk Ash (RHA), a agricultural byproduct obtained from burning of millinghusks under controlled temperatures is known for it's high amorphous silica content an…

As quantum computing continues to advance, many of the encryption methods used in today’s chat applications may no longer be secure. Techniques like RSA and Elliptic Curve Cryptography, which are currently reliable, could be broken by quantum algorithms such as Shor’s algorithm, creating risks for private communication. To address this issue, the project presents a Post-Quantum Secure Chat Applic…

Fatigue detection plays a crucial role in preventing accidents, especially in transportation systems where driver alertness is essential. This project proposes a Fatigue Monitoring Detection System using Artificial Intelligence and Machine Learning to identify early signs of drowsiness in real time. The system is designed to be non-intrusive and continuously monitors the driver’s facial features …

In most developing countries, the policies concerning rural credit were, by and large, based on certain assumptions, some of which were: commercial banks were reluctant to provide for the credit needs of the rural poor for reasons that were neither commercial nor economic; the rural poor did not have any capacity to save; they needed credit on concessionary rates of interest and relaxed terms for…

Personal finance management has long remained reactive, manual, and devoid of intelligent forward-looking capability. Existing commercial platforms such as Mint, YNAB, and Money Manager function as categorised ledgers, recording past transactions without any predictive or diagnostic intelligence. This paper presents FinFusion, a full-stack AI-powered personal finance tracker that addresses three …

The rapid expansion of retail commerce—both online and offline—has generated vast volumes of customer transaction data that most retailers are ill-equipped to leverage effectively. Conventional decision-support systems rely on manual analysis or simplistic rule-based methods, leading to missed opportunities in product bundling, personalized recommendations, and inventory planning. The proposed Sh…

The AI-Based Solar Power Generation Forecasting and Performance Optimization System is designed to improve the efficiency, reliability, and productivity of solar energy systems using Artificial Intelligence (AI). Solar power generation depends on environmental factors such as sunlight intensity, temperature, weather conditions, and cloud cover, which make power output difficult to predict accurat…

Power transformers are critical assets in electrical power systems, responsible for efficient energy transmission and distribution. Unexpected transformer failures can cause power interruptions, equipment damage, safety risks, and substantial economic losses. This study presents TransformerSense, an intelligent fault analytics framework designed for predictive protection of power transformers thr…

Accurate assessment of crop yield is necessary for the use of resources in agroclimatic zones. This study emphasizes the need for an optimized approach for yield prediction utilizing the XGBoost machine learning algorithm using Indian agricultural datasets from the Kaggle library. The phases of data pre-processing, feature engineering, Bayesian hyperparameter optimization, and explanation analysi…

The present paper focuses on Cyber Security Awareness Campaigns, and aims to identify key factors regarding security which may lead them to failing to appropriately change people's behavior. The increasing recognition of human susceptibility to cyber threats highlights the imperative for integrating human factors into cybersecurity. The research explores the diversity of definitions across cybers…

Every minute separating a suspicious MRI from a physician-readable report is a minute of clinical uncertainty—and in neuro-oncology, uncertainty compounds rapidly into harm. NeuroGenAI confronts this reality by fusing a VGG16 convolutional classifier with a large language model reporting engine to produce, within a single browser interaction, both a tumour classification and a structured clinical…