As the global population ages and mobility impairments rise due to age, accidents, and congenital conditions, the need for enhanced solutions in mobility aids becomes increasingly critical. In the United States, approximately 13.7% of adults face mobility disabilities, with 2.7 million using wheelchairs. This trend is mirrored globally, with over 1 billion people living with disabilities and 75 million needing wheelchairs. Traditional wheelchairs often fall short by lacking integrated health monitoring, therapeutic support, and autonomous navigation, resulting in increased health risks and limited independence for users. To address these issues, this paper proposes the development of an advanced multifunctional smart wheelchair. This innovative design features a comprehensive health monitoring system for continuous vital parameter assessment, a one-touch mechanism to convert the chair into a bed for added comfort, autonomous mobility for ease of navigation, automated physiotherapy functions for personalized rehabilitation, and a seamless virtual consultation interface for immediate medical support. The proposed system aims to significantly enhance the quality of life, independence, and overall well-being of individuals with mobility and health challenges, providing a holistic solution that overcomes the limitations of existing traditional wheelchairs

Agriculture is the pillar of several economies, providing food, raw materials, and employment to a large area of population. Due to wild animals damaging 1.2% to 6.7% of agricultural land and birds causing over $100 million in crop losses during critical stages like sowing and ripening, many farmers giving up on cultivation. An electric fence serves as a barrier between animals and crops. But, instead of minimize harm, fences cause fatalities among animals and humans. As per the records of 2023, due to electrical fencing, around 100 elephants in India,300 elephants in srilanka were died. It is crucial to protect both animals and crops to ensure environmental preservation. The present methods for protecting crops from animal intrusion are limited up to their detection and production of ultrasonic sounds. The method that is being proposed uses the Efficient Internet of Things for detecting animal vocalizations and YOLO machine learning algorithm to identify the type of animals by capturing images, produce ultrasonic sounds depending on the type of animal, illuminate LEDs as a virtual fire, and sending alert message to authorized person, when an animal is detected. YOLOv5 is a state-of-the-art object detection model known for its speed, accuracy, and scalability, making it ideal for real-time applications. The proposed system helping farmers sustain their livelihoods by reduces crop damage without affecting animal and birds.

Women’s safety is a critical issue that has to be addressed by society. The prevalence of violence against women is rising, including sexual misbehaviour, Eve-teasing, and domestic abuse. The woman could deal with a variety of problems on a daily basis. Wearable safety technologies aim to make women feel as strong as they always have—strong enough to fight against the cultural environment’s parasites, resilient enough to withstand adversity, and capable of defending themselves against any sexual assaults. Our goal is to develop a system that will contribute to women feeling safer in every situation, every minute of the day. The idea behind this creation is to create an Android app that ladies may utilize in a variety of everyday situations. The proposed advanced women safety device integrated with artificial intelligence and IoT (Internet of Things) for providing safety and confidence to women. Our proposed device sends an alert message to the authorized person or nearby police station, when (i) location deviation, (ii) vital signs and gait analysis exceeding threshold values, (iii) recognize “HELP” through voice-controlled device, (iv) throw out the mobile phone and activating emergency switch. And also provides, sending alert to the user, when (i) unknowingly entering into insecure area, (ii) provides health tips for the women, (iii) notifying the jobs or schemes provided by the government. It leads to Improved personal safety, Increased awareness of areas, Proactive Health Management and Reduction in crime rates.

Farmers with limited agricultural land face challenges such as decreased crop yields and profitability due to spatial constraints, which obstruct effective crop rotation and expansion. Vertical farming presents a vital solution, optimizing agricultural output in urbanized and space-constrained areas, thereby improving food security, encouraging sustainable farming methods, and enabling year-round crop cultivation. In contemporary agriculture, Artificial Intelligence (AI) and Internet of Things (IoT) technologies play a crucial role, supporting precision farming practices. This study proposes an innovative vertical farming technique that combines soil-based, hydroponic, and aeroponic systems. Automated irrigation and monitoring systems, including moisture sensors and mini robot, provide tailored crop management. Proposed technique provides automated water supply when the crops need, a robot consists of camera continuously monitoring of crops, picking crops, spraying fertilizers at disease detected portion. This comprehensive approach boosts agricultural efficiency, sustainability, and adaptability to climate change, highlighting its importance in various farming contexts. This approach results in the maximizes space utilization, increases crop yields and enabled year-round production, reduce labour cost.