The placement of WI-FI routers in the network is an intensive problem concerning connectivity and coverage.It directly affects the transmission loss, installation cost, operational complexity, wi-fi network coverage, etc.However, optimizing the location of the routers can resolve these issues and increase network performance. Thus,using major deep-learning models the problem is resolved. The proposed model concentrates on the optimization of the objective function in terms of the empty spaces, hindrances such as concrete walls, metallic objects, etc. in the area, maximum client coverage in the location, and the network connectivity. It is an initial step to ensure the desired network performance such as throughput, connectivity, and coverage of the network.. Furthermore, a Wi-Fi analyzing system for generating the results based on the observations of the Wi-Fi router network is implemented. It analyzes the wireless network, devices in the network, and the connected users. The model also gives a WLAN report of the Wi-Fi router

Context:Incidence of sports- related injuries are common in contact grade sports, particularly concerning the stomatognathic region. The use of intraoral mouthguards is essential in prevention, but the choice depends on the comfort and experience of the athlete. Objective: To compare custom-made and stock (boil and bite) mouth guard in boxers cohort based on their subjective experience. Design: Qualitative study Setting: Academic Dental Hospital Patients or Other Participants: The cohort of ten active boxers of 15-35 yrs. age were included from different local training institutes with details of their background characteristics without gender discrimination. Data Collection and Analysis: Data were collected using a subjective questionnaire and analysed using SPSS version 20.0. A non-parametric test was applied. Results: The response was calculated, and a comparison was done using Chi-Square Test for statistical significance. Customized mouth guard was found to be outstanding on all parameters except in terms of protection, where it was found equivalent to Boil and Bite. Conclusion: Within the limitations of the study, it can be concluded that the use of customized mouth guard has significantly conquered the disadvantages of conventional mouthguard of choice, based on which the use of customized mouthguard showed be promoted. Key words: customised mouthguard, boil and bite mouthguard, boxers, sports injuries, sports dentistry.

The use of Artificial Intelligence in the healthcare sector has been recently observed. Projects are being made that integrate AI and therapeutic sessions[1]. A new area of study evolved where doctors, along with technicians, collaborate to create projects which will help give the old school therapy an advanced technical form. This study uses the original therapy techniques for mental health assessment and integrates it with machine learning models for facial emotion recognition and speech pattern recognition to get a better understanding of a patient’s mental health condition and help them deal with it. This project assists the patient in the diagnosis of 11 different mental health conditions where the patient’s emotional state is taken into consideration while diagnosis. Patients’ social interactions are also being checked and analyzed regularly. This project calculates a verdict which declares whether the patient suffers from the diagnosed illness or whether they should retake the tests. In addition, the project maintains records of the patient's emotional and mental health journey.