Insufficient automation in EV charging demands precise navigation and charging port detection for the optimal operation of Automatic Charging Robots. This study presents AViTRoN, Advanced Vision Track Routing and Navigation system, which employs YOLOv8 for real-time charging port detection , complemented by 3D camera for accurate navigation of ACR and a notification system for charging completion via GSM/GPRS, enhancing user experience. 

Aquaculture is expanding to meet global fish demand but faces environmental challenges. To address this, an economical remote-surveillance system for marine net-pens has been developed using GSM, GPS, IoT, and embedded systems. This system remotely monitors seawater parameters like temperature, turbidity, dissolved oxygen, and pH, reducing the need for manual inspections. Data from intelligent water sensors is transmitted via GPRS and GSM to centralized servers for real-time analysis. However, sustainability remains a concern, as fishmeal from wild-caught fish, essential for aquaculture feed, impacts marine ecosystems. This project aims to enhance efficiency while addressing environmental challenges. 

Osteoarthritis is a chronic, progressive condition characterized by the deterioration of joint cartilage, leading to pain and stiffness, particularly in weight-bearing joints. Knee osteoarthritis is widespread among older individuals, and does not have a single medication that is universally acknowledged as effective for its treatment. With a combination of non-pharmacological and pharmacological methods, the earliest treatments in its management aim to alleviate symptoms. It is more common in women over 60 years old and is influenced by several factors, including age, gender, obesity, and muscular weakness. When acute pain first appears, diagnosis is still difficult to make and often happens later. Even though it is expensive and dangerous, total knee arthroplasty (TKA) is a popular therapy for extreme conditions. The treatment of knee OA is only partially effective using the existing clinical criteria. Early identification and treatment are essential to mitigate morbidity and surgical costs. The study's findings indicate that the developed method effectively synchronizes a sensor system using IMU sensor data to analyze individual gait patterns. By placing sensors on the femur and tibia, Roll, Pitch, and Yaw values were obtained. Alerts are programmed to signal deviations beyond the healthy thresholding range. The study suggests the potential of IMU sensors in predicting knee flexion angles during daily activities. 

Artificial intelligence (AI) is rapidly transforming healthcare, leading to the creation of novel applications. Intelligent chatbots, in particular, hold immense potential for improving patient interaction and optimizing initial diagnosis. This paper presents an AI-powered healthcare chatbot designed to offer accessible, timely, and evidence-based guidance to patients experiencing a diverse range of symptoms. This chatbot addresses fundamental health inquiries and improves the efficiency of healthcare delivery by optimizing the initial point of patient contact. The primary objective is to enhance diagnostic sensitivity and promote patient self-management while building user trust. This research represents a significant stride towards a more integrated and responsive digital healthcare solution, bridging the gaps in traditional healthcare accessibility and efficiency.