Unknown Place Research Articles

Usage behavior related to the 9-Euro-ticket - impetus for psychiatric outpatients to increase activity and social contacts?

This study presents first descriptive statistics on the usage behavior relating to discounted tickets for public transportation as part of an initiative of the German Federal Government in 2022. During a three-month period, 103 psychiatric outpatients of the University Clinic - Charité Berlin provided self-reported data by completing a survey. In general results suggested a high usage rate of the so-called "9-Euro-ticket" of 89,3%. Due to its purchase, 37,9% (N=39) of the participants felt motivated to explore unknown places. Furthermore, approximately one third of the sample (34,9%; n=36) reported an increase of social contacts as a result of their ticket usage. A higher influence of costs on participants' activity levels was associated with an increase in main symptoms. Higher age was correlated with a decrease of patients' core symptoms due to their activity. Results indicate a high usage of reduced-price tickets for subsidized public transport by the patients concerned.

Use of Geological Maps in Detecting Asbestos-Related Diseases; A New Region in Anatolia.

To examine the potential relationship between the presence of asbestos-related diseases (ARDs) in the region of Kastamonu, Turkey. The places of birth of patients with ARDs and control subjects diagnosed between 2008 and 2019 and identified in a tertiary hospital in Istanbul. Soil samples were taken from plaster surfaces and quarries. The analysis was done with transmission electron microscopy. ARDs was detected in 55(17.9%) of 307 participants. Patients had a mean age of 68 ± 11 years. Residential proximity to ophiolites increased ARD incidence by 6.2% per kilometer ( P = 0.003). Birthplaces were identified as being inside an ophiolitic unit, or if they were not, the Google Earth software was used to determine the beeline distance between the settlement's center and the edge of the closest ophiolitic unit. The appropriate threshold for this case is 12.75 km, with 75% sensitivity and 87% specificity. ARDs due to naturally occurring asbestos (NOA) are present in hitherto unknown places. Geological maps including ophiolites can help locate these places.

Needs Expressed in Peer-to-Peer Web-Based Interactions Among People With Depression and Anxiety Disorders Hospitalized in a Mental Health Facility: Mixed Methods Study.

Hospitalization in psychiatric wards is a necessary step for many individuals experiencing severe mental health issues. However, being hospitalized can also be a stressful and unsettling experience. It is crucial to understand and address the various needs of hospitalized individuals with psychiatric disorders to promote their overall well-being and support their recovery. Our objectives were to identify and describe individual needs related to mental hospitals through peer-to-peer interactions on Polish web-based forums among individuals with depression and anxiety disorders and to assess whether these needs were addressed by peers. We conducted a search of web-based forums focused on depression and anxiety and selected samples of 160 and 176 posts, respectively, until we reached saturation. A mixed methods analysis that included an in-depth content analysis, the Pearson χ2 test, and φ coefficient was used to evaluate the posts. The most frequently identified needs were the same for depression and anxiety forums and involved informational (105/160, 65.6% and 169/393, 43%, respectively), social life (17/160, 10.6% and 90/393, 22.9%, respectively), and emotional (9/160, 5.6% and 66/393, 16.8%, respectively) needs. The results show that there is no difference in the expression of needs between the analyzed forums. The needs were directly (42/47, 89% vs 98/110, 89.1% of times for depression and anxiety, respectively) and not fully (27/47, 57% vs 86/110, 78.2% of times for depression and anxiety, respectively) addressed by forum users. In quantitative analysis, we found that depression-related forums had more posts about the need for informational support and rectification, the expression of anger, and seeking professional support. By contrast, anxiety-related forums had more posts about the need for emotional support; social life; and information concerning medications, hope, and motivation. The most common co-occurrence of expressed needs was between sharing own experience and the need for professional support, with a strong positive association. The qualitative analysis showed that users join web-based communities to discuss their fears and questions about psychiatric hospitals. The posts revealed 4 mental and emotional representations of psychiatric hospitals: the hospital as an unknown place, the ambivalence of presumptions and needs, the negative representation of psychiatric hospitals, and the people associated with psychiatric hospitals. The tone of the posts was mostly negative, with discussions revolving around negative stereotypes; traumatic experiences; and beliefs that increased anxiety, shock, and fright and deterred users from hospitalization. Our study demonstrates that web-based forums can provide a platform for individuals with depression and anxiety disorders to express a wide range of needs. Most needs were addressed by peers but not sufficiently. Mental health professionals can benefit from these findings by gaining insights into the unique needs and concerns of their patients, thus allowing for more effective treatment and support.

Teledrive: An Embodied AI Based Telepresence System

This article presents ‘Teledrive’, a telepresence robotic system with embodied AI features that empowers an operator to navigate the telerobot in any unknown remote place with minimal human intervention. We conceive Teledrive in the context of democratizing remote ‘care-giving’ for elderly citizens as well as for isolated patients, affected by contagious diseases. In particular, this paper focuses on the problem of navigating to a rough target area (like ‘bedroom’ or ‘kitchen’) rather than pre-specified point destinations. This ushers in a unique ‘AreaGoal’ based navigation feature, which has not been explored in depth in the contemporary solutions. Further, we describe an edge computing-based software system built on a WebRTC-based communication framework to realize the aforementioned scheme through an easy-to-use speech-based human-robot interaction. Moreover, to enhance the ease of operation for the remote caregiver, we incorporate a ‘person following’ feature, whereby a robot follows a person on the move in its premises as directed by the operator. Moreover, the system presented is loosely coupled with specific robot hardware, unlike the existing solutions. We have evaluated the efficacy of the proposed system through baseline experiments, user study, and real-life deployment.

Through the Looking Screen: Exploring Familiar Places Through Google Maps Street View

The widespread of digitalization and its consequent adoption of digital navigation tools has led to an increased digitally mediated wayfinding of unknown and known places. In this study, the focus was placed on the latter, namely the exploration of familiar places through Google Maps. This study aimed to understand how familiar places are digitally revisited through the use of the popular Google Maps Street View. By employing digital go-along interviews, participants were invited to choose a known place which they have not physically visited in a significant amount of time and guide a digital walk. By adopting an agential realist theoretical perspective, Google Maps Street View is articulated as a more-than-digital tool. The main emerging themes consisted of the experienced disruptive elements leading to workarounds, the existent spatiotemporal shifts, and the visibility of present and absent matter emerging from the intra-actions of human and non-human actors. The work illustrates how digital places are understood and engaged with, and how meaning is ascribed to such digital worlds which come into being through an entanglement of memories, physicality, and digital elements. The paper contributes to an understanding of digital place, being of relevance to future directions in the development of similar navigational technologies, and to policy and legislation being formulated in this area.

Adaptasi Dan Fenomena Culture Shock Pada Mahasiswa Pmm (Pertukaran Mahasiswa Mardeka Mandiri) Di Universitas Muhammadiyah Pringsewu

Exchange students can be said to take place in an area that is temporary, moving and living in an unknown place, student concerns when each lifestyle is handled differently from culture shock to the culture of the new environment from the previous environment. Therefore, adjustments are needed to be able to adapt and communicate effectively with the surrounding community. Where cultural and environmental differences that will be faced include speech, behavior, language, food, weather and lifestyle. This research uses a qualitative research method with a phenomenological approach with data collection techniques carried out by interviewing 5 students from outside Lampung Province (Pringsewu). The results of this research show that the participants experienced 2 types of culture shock faced by students. First, language is the first inhibiting factor in communicating, language is important in effective communication, and participants barely understand and are not used to conversations using Javanese. This is because most of the Pringsewu community uses Javanese rather than Lampung. Second, the environment, which is the culture shock factor for PMM students, namely in terms of weather, time of day and the lifestyle of local residents. Adaptation efforts are made by increasing intense interaction, studying and understanding the language and culture of the local community. That way we can interact and relate to other people better, understand how they think and feel, and build better relationships. The ability to communicate effectively and understand an individual's culture and personality greatly influences the results which depend on each individual's competence.

Untapped Location Discovery on Social Media by Combining Geospatial Clustering with Natural Language Processing

This methodology combines geospatial clustering and Natural Language Processing (NLP) to create a framework for discovering unexplored geotags in social media. The framework contains the collection of data from social media platforms, the preprocessing of data with Pandas, Natural Language Toolkit (NLTK) and SpaCy libraries for the NLP analysis as well as for sentiment analysis and named entity recognition, followed by spatial clustering with Density-based Space Clustering of Noise Applications (DBSCAN), K-Means and HDBSCAN algorithms, then visualising with Matplotlib and Folium libraries. The data analysis and statistics were done using Pandas and NumPy libraries, and exploration through the selection and collection of more data based on the previous step. In addition, a prediction model has been developed to predict a location cluster using its name by comparing it to the preprocessed comma-separated values data file. Currently, there are certain locations like small-scale hospitals or unknown tourist places which are not currently tagged on available maps applications. This framework can be useful for researchers and policy makers to identify those locations and gain insights from social media data and find its potential for decision-making in various fields.

Unleash the Potential of Mystery, Ghost & Paranormal Tourism through the lens of locals in Kuldhara, Rajasthan, India: A qualitative study

Mystery tourism is a novel topic related to travelling to events or destinations based on some stories, myths, beliefs of the host community or tourists. This also includes the myths and curiosity of locals and travelers about some known and unknown incidents or places. This paper aims to find out the experiences and perceptions of locals regarding mystery tourism in Kuldhara, Rajasthan. Ghost tours, paranormal investigations, and haunted stories have attracted many tourists to Kuldhara. In-depth interviews with 25 residents of Kuldhara, Rajasthan, reveal that residents have positive beliefs and ideologies regarding ghosts and paranormal activities. The study took in year (March 2022 to Feb 2023). The researchers identified purposive sampling and snow balling which has been used in previous studies too. This study is qualitative, and researchers employed thematic analysis techniques manually. Five major themes emerged from mystery tourism in Kuldhara, i.e., Myth & Tales, Perception of locals, Role of Government and Private bodies, Impact of mystery tourism and economic benefits. The study reveals that most locals face mysterious incidents and believe in ghosts and paranormal activities. This study generates curiosity among the readers and researchers to understand and explore the concepts of mystery tourism in a better way. Implications for developing mystery tourism attractions and support for resident well-being are offered.

An Advanced Segmentation Approach to Piecewise Regression Models

Two problems concerning detecting change-points in linear regression models are considered. One involves discontinuous jumps in a regression model and the other involves regression lines connected at unknown places. Significant literature has been developed for estimating piecewise regression models because of their broad range of applications. The segmented (SEG) regression method with an R package has been employed by many researchers since it is easy to use, converges fast, and produces sufficient estimates. The SEG method allows for multiple change-points but is restricted to continuous models. Such a restriction really limits the practical applications of SEG when it comes to discontinuous jumps encountered in real change-point problems very often. In this paper, we propose a piecewise regression model, allowing for discontinuous jumps, connected lines, or the occurrences of jumps and connected change-points in a single model. The proposed segmentation approach can derive the estimates of jump points, connected change-points, and regression parameters simultaneously, allowing for multiple change-points. The initializations of the proposed algorithm and the decision on the number of segments are discussed. Experimental results and comparisons demonstrate the effectiveness and superiority of the proposed method. Several real examples from diverse areas illustrate the practicability of the new method.

Single neuron responses underlying face recognition in the human midfusiform face-selective cortex

Faces are critical for social interactions and their recognition constitutes one of the most important and challenging functions of the human brain. While neurons responding selectively to faces have been recorded for decades in the monkey brain, face-selective neural activations have been reported with neuroimaging primarily in the human midfusiform gyrus. Yet, the cellular mechanisms producing selective responses to faces in this hominoid neuroanatomical structure remain unknown. Here we report single neuron recordings performed in 5 human subjects (1 male, 4 females) implanted with intracerebral microelectrodes in the face-selective midfusiform gyrus, while they viewed pictures of familiar and unknown faces and places. We observed similar responses to faces and places at the single cell level, but a significantly higher number of neurons responding to faces, thus offering a mechanistic account for the face-selective activations observed in this region. Although individual neurons did not respond preferentially to familiar faces, a population level analysis could consistently determine whether or not the faces (but not the places) were familiar, only about 50 ms after the initial recognition of the stimuli as faces. These results provide insights into the neural mechanisms of face processing in the human brain.

Place of death among individuals with chronic respiratory diseases in China: Trends and associated factors between 2014 and 2020.

Chronic respiratory disease (CRD) is a common cause of mortality in China, but little is known about the place of death (POD) among individuals with CRD. Information about CRD-caused deaths was obtained from the National Mortality Surveillance System (NMSS) in China, covering 605 surveillance points in 31 provinces, autonomous regions, and municipalities. Both individual- and provincial-level characteristics were measured. Multilevel logistic regression models were built to evaluate correlates of hospital CRD deaths. From 2014 to 2020, a total of 1,109,895 individuals who died of CRD were collected by the NMSS in China, among which home was the most common POD (82.84%), followed by medical and healthcare institutions (14.94%), nursing homes (0.72%), the way to hospitals (0.90%), and unknown places (0.59%). Being male, unmarried, having a higher level of educational attainment, and being retired personnel were associated with increased odds of hospital death. Distribution of POD differed across the provinces and municipalities with different development levels, also presenting differences between urban and rural. Demographics and individual socioeconomic status (SES) explained a proportion of 23.94% of spatial variations at the provincial level. Home deaths are the most common POD (>80%) among patients with COPD and asthma, which are the two major contributors to CRD deaths. Home was the leading POD among patients with CRD in China in the study period; therefore, more attention should be emphasized to the allocation of health resources and end-of-life care in the home setting to meet the increasing needs among people with CRD.

Turismo aventura, exploración y negociaciones en la creación de la Puna argentina como destino turístico

The travel to unknown places, in the “expanding margins” of the tourist system, arouses the interest of visitors. At the same time, it is considered an option for the diversification of destinations, attractions and tourist modalities. According to these trends, adventure tourism services have recently been developed in the Argentinean Puna. The article aims to analyse how these services participate in the processes of transforming this area into an emerging tourist destination. In order to do that, three dimensions are considered: a) the general conditions that enable the design of these services; b) the geographical and tourist imaginaries associated with Puna involved in the offered trips; y c) the negotiations established between adventure tourism entrepreneurs and other actors with presence and interests in the area.

A Study on Brotherhood-Perception for Korea through the Oral Life Narratives of Korean War Veterans in Turkey

This study was conducted to examine the full extent of the brotherhood perception of Korea, which has expanded to the Turkish general public based on the experiences of Turkish Korean War veterans. To this end, the traits of the Korean perception were closely examined based on the data collected through the research on the oral life story of veterans conducted from 2018 to 2022. As a result, we established that Korea was initially an unknown place to veterans and then transformed into an object that needs protection. This imparted a new meaning of saviors for the veterans. Finally, after the war, they identified Korea as a companion, then a brother for life, who sublimated their horrific war experience into a noble sacrifice. As the brotherhood perception through this process spread throughout Turkey, centered on veterans and their acquaintances, it formed the brotherhood perception as we know it. By confirming the reality of the brotherhood perception of Korea through oral life stories of Turkish veterans, we can pave the way to maintain and develop future bilateral relations. In conclusion, it is necessary to maintain and strengthen the foundation of the friendship bonds between the two countries and continue the companionship as eternal brothers by documenting and sharing the experiences of veterans who are still alive as soon as possible.

The role of artificial neural network and machine learning in utilizing spatial information

In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data, including the internet of things, mobile, cybersecurity, social media, forecasts, health data, and so on. The expertise of machine learning and artificial intelligence (AI) is required to soundly evaluate the data and develop related smart and automated applications, These fields use a variety of machine learning techniques including supervised, unsupervised, and reinforcement learning. The objective of the study is to present the role of artificial neural networks and machine learning in utilizing spatial information. Machine learning and AI play an increasingly important role in disaster risk reduction from hazard mapping and forecasting severe occurrences to real-time event detection, situational awareness, and decision assistance. Some of the applications employed in the study to analyze the various ANN domains included weather forecasting, medical diagnosis, aerospace, facial recognition, stock market, social media, signature verification, forensics, robotics, electronics hardware, defense, and seismic data gathering. Machine learning determines the many prediction models for problems involving classification, regression, and clustering using known variables and locations from the training dataset, spatial data that is based on tabular data creates different observations that are geographically related to one another for unknown factors and places. The study presents that the Recurrent neural network and convolutional neural network are the best method in spatial information processing, healthcare, and weather forecasting with greater than 90% accuracy.

La réalité virtuelle personnalisée sur les troubles de l’humeur en établissement d’hébergement pour personnes âgées dépendantes et unité de soin de longue durée : étude de cas chez un résident présentant des troubles cognitifs modérés

IntroductionThe World Health Organization defined dementia as a syndrome in which there is deterioration in cognitive function beyond what might be expected from the usual consequences of biological aging. Currently, 55 million people live with Alzheimer's in the world. Unfortunately, there isn’t any drug treatment to cure the degenerative disease although clinical trials are promising regarding the use of monoclonal antibodies. But, Alzheimer's disease and associated diseases lead to behavioral and psychological symptoms (anxiety, apathy, depression) which can be frequent in nursing homes. In the context of pandemic, these conditions are amplified because of the sanitary restrictions. Since the beginning of the sars-cov2 pandemic, residents have felt alone, sad and more anxious. Nowadays, non-drug interventions are recommended by health organizations for the treatment of behavioral and mood disorders in the elderly with cognitive disorders. Reminiscence therapy is a non drug intervention which has been shown to be effective in the treatment of mood disorders on elderly. Many nursing homes use this non pharmacological treatment for their residents. Some studies take interest in reminiscence and virtual reality. The use of new technologies is innovative in geriatric care and it can be used as a personalized support for reminiscence therapy. The “Bien Vieillir Nice 2030” Project of Nice's University Hospital supports this research on virtual reality and mood disorders in nursing homes/long term care unit. ObjectiveThe objective of this study (University Hospital of Nice, CoBTeK France) is to evaluate the effects of personalized virtual reality on reduction of mood disorders in nursing homes residents with minors and moderates neurocognitive disorders. The secondary objectives are to assess the acceptability of the device, the emotional valence and the resident's quality of life. MethodA single case study is presented to illustrate reminiscences and emotions protocol. Participants are randomized into two groups: neutral versus personalized. The neutral videos consist of unknown places like random streets or public gardens while the personalized videos are known places that mattered to the residents. Places are filmed with a camera GoPro Fusion 360°. The healthcare team and families are actively involved in the research protocol. Their help is invaluable in targeting memories related to the resident's life history. A clinical psychologist specializing in gerontology is in charge of the virtual reality sessions. The therapeutic alliance is central to our study. A humanistic method of person-centered approach allows communication with the resident to offer him to participate in the sessions. The sessions always start and end in the same way in order not to cause stress in the resident. The hardware is tested before the protocol starts, for familiarization purpose. Potential side effects related to virtual reality are identified using a cybermalaise questionnaire. The sessions are held in a sitting position for the participant's safety. In this paper, Mr. G, 92 years old benefits from personalized video according to his life story. He has moderate cognitive impairment as well as mood disorders. He received ten virtual reality sessions over a period of six weeks. The exposure time varies between five to ten minutes. We use an Oculus Rift S headset and a computer in partnership with C2Care. Variables were measured before and at the end of the protocol. We performed a visual analysis of the scores. ResultsThe results indicated a decrease on mood rating scales scores (Geriatric Depression Scale, Apathy Inventory, Neuropsychiatric Inventory and Hamilton Depression Rating scale). The interventions produced pleasure and alertness in connection along with the emergence of positive memories. The headset was well tolerated by the participant, but we did not observe any effect on quality of life. ConclusionThere is an interest in the use of reminiscence therapy using virtual reality to improve participants’ mood. Future results will allow us to conclude on the method and on its indication in nursing homes after the inclusion of 30 participants.

Transformer based named entity recognition for place name extraction from unstructured text

Place names embedded in online natural language text present a useful source of geographic information. Despite this, many methods for the extraction of place names from text use pre-trained models that were not explicitly designed for this task. Our paper builds five custom-built Named Entity Recognition (NER) models and evaluates them against three popular pre-built models for place name extraction. The models are evaluated using a set of manually annotated Wikipedia articles with reference to the F1 score metric. Our best performing model achieves an F1 score of 0.939 compared with 0.730 for the best performing pre-built model. Our model is then used to extract all place names from Wikipedia articles in Great Britain, demonstrating the ability to more accurately capture unknown place names from volunteered sources of online geographic information.

Image Recognition-Based Architecture to Enhance Inclusive Mobility of Visually Impaired People in Smart and Urban Environments

The demographic growth that we have witnessed in recent years, which is expected to increase in the years to come, raises emerging challenges worldwide regarding urban mobility, both in transport and pedestrian movement. The sustainable development of cities is also intrinsically linked to urban planning and mobility strategies. The tasks of navigation and orientation in cities are something that we resort to today with great frequency, especially in unknown cities and places. Current navigation solutions refer to the precision aspect as a big challenge, especially between buildings in city centers. In this paper, we focus on the segment of visually impaired people and how they can obtain information about where they are when, for some reason, they have lost their orientation. Of course, the challenges are different and much more challenging in this situation and with this population segment. GPS, a technique widely used for navigation in outdoor environments, does not have the precision we need or the most beneficial type of content because the information that a visually impaired person needs when lost is not the name of the street or the coordinates but a reference point. Therefore, this paper includes the proposal of a conceptual architecture for outdoor positioning of visually impaired people using the Landmark Positioning approach.

Designing obstacle’s map of an unknown place using autonomous drone navigation and web services

PurposeDrones are used in several purposes including examining areas, mapping surroundings and rescue mission operations. During these tasks, they could encounter compound surroundings having multiple obstacles, acute edges and deadlocks. The purpose of this paper is to propose an obstacle dodging technique required to move the drones autonomously and generate the obstacle's map of an unknown place dynamically.Design/methodology/approachTherefore, an obstacle dodging technique is essentially required to move autonomously. The automaton of drones requires complicated vision sensors and a high computing force. During this research, a methodology that uses two basic ultrasonic-oriented proximity sensors placed at the center of the drone and applies neural control using synaptic plasticity for dynamic obstacle avoidance is proposed. The two-neuron intermittent system has been established by neural control. The synaptic plasticity is used to find turning angles from different viewpoints with immediate remembrance, so it helps in decision-making for a drone. Hence, the automaton will be able to travel around and modify its angle of turning for escaping objects during the route in unknown surroundings with narrow junctions and dead ends. Furthermore, wherever an obstacle is detected during the route, the coordinate information is communicated using RESTful Web service to an android app and an obstacle map is generated according to the information sent by the drone. In this research, the drone is successfully designed and automated and an obstacle map using the V-REP simulation environment is generated.FindingsSimulation results show that the drone effectively moves and turns around the obstacles and the experiment of using web services with the drone is also successful in generating the obstacle's map dynamically.Originality/valueThe obstacle map generated by autonomous drone is useful in many applications such as examining fields, mapping surroundings and rescue mission operations.

Garbage codes in the Norwegian Cause of Death Registry 1996–2019

BackgroundReliable statistics on the underlying cause of death are essential for monitoring the health in a population. When there is insufficient information to identify the true underlying cause of death, the death will be classified using less informative codes, garbage codes. If many deaths are assigned a garbage code, the information value of the cause-of-death statistics is reduced. The aim of this study was to analyse the use of garbage codes in the Norwegian Cause of Death Registry (NCoDR).MethodsData from NCoDR on all deaths among Norwegian residents in the years 1996–2019 were used to describe the occurrence of garbage codes. We used logistic regression analyses to identify determinants for the use of garbage codes. Possible explanatory factors were year of death, sex, age of death, place of death and whether an autopsy was performed.ResultsA total of 29.0% (290,469/1,000,128) of the deaths were coded with a garbage code; 14.1% (140,804/1,000,128) with a major and 15.0% (149,665/1,000,128) with a minor garbage code. The five most common major garbage codes overall were ICD-10 codes I50 (heart failure), R96 (sudden death), R54 (senility), X59 (exposure to unspecified factor), and A41 (other sepsis). The most prevalent minor garbage codes were I64 (unspecified stroke), J18 (unspecified pneumonia), C80 (malignant neoplasm with unknown primary site), E14 (unspecified diabetes mellitus), and I69 (sequelae of cerebrovascular disease).The most important determinants for the use of garbage codes were the age of the deceased (OR 17.4 for age ≥ 90 vs age < 1) and death outside hospital (OR 2.08 for unknown place of death vs hospital).ConclusionOver a 24-year period, garbage codes were used in 29.0% of all deaths. The most important determinants of a death to be assigned a garbage code were advanced age and place of death outside hospital. Knowledge of the national epidemiological situation, as well as the rules and guidelines for mortality coding, is essential for understanding the prevalence and distribution of garbage codes, in order to rely on vital statistics.

“in Rted – Interactive Navigation by Virtual Reality Tour of Electronics Department”

Abstract: The purpose of this study is to design a navigation tool that helps users in exploring a place without actually having to move about. The 3D model of the virtual campus offers a characteristic and genuine visual representation of the campus. Also, keeps great interaction with clients so that gathering of people to see through and encounter the feeling of really being right there inside the campus. We all have the experience of getting lost and missing our way in an unfamiliar region or unknown place. Similarly, the freshers or the visitors who are visiting the university for the first time might encounter the identical issue once they enter the Campus. To make it convenient for them, we offer an easy platform for navigating locations inside the college Campus. According to the final idea of the project, the design should provide a typical location selection input with the corresponding output. Users can properly choose the doorway from our campus or a selected location on a distinct floor, and also the best-suited way is shown on display step by step. The purpose of designing this aspect is to let users remember the destination whether or not they are required to travel in-home or on the way before coming to our campus. Campus visits are among the openings for colleges and colleges to point out their resources, amenities, and accomplishments to guests and students. Several universities are utilizing similar technology as a mobile campus touring application like customized maps to create for the visitors at home self-guided campus go through devices. Our project will provide a Virtual 3-Dimensional experience in the navigation of the College Campus