Abstract— Crime patterns have shifted heavily toward digital platforms in the last decade. Traditional policing methods that respond after an offense has occurred often fail to prevent harm. This paper presents a multimodal deep learning framework that merges web browsing behavior, facial expression analysis, and geolocation metadata to estimate criminal intent in real time. The proposed architecture runs two models... view more..

Abstract- Road accidents remain a major concern worldwide, often caused by over speeding, poor road conditions, and traffic violations. This paper presents an intelligent accident prevention system that integrates artificial intelligence, camera-based vision, and sensor technologies to enhance road safety. The proposed system continuously monitors the driving environment using a front-facing camera and proximity sensors to detect road anomalies such as potholes, speed breakers, and traffic signals.... view more..

Abstract- Airborne allergens such as pollen proteins and dust mite particles are major triggers of asthma and allergic reactions, yet conventional detection techniques are typically laboratory based, time-consuming, and unsuitable for continuous monitoring. This review discusses recent developments in electrochemical biosensing technologies and their potential for real-time environmental allergen detection. It further proposes a compact wearable sensing platform designed to monitor... view more..