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Implementation of Route Suggestion System over Natural Language Processing

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 09 Issue: 05 | May 2022

p-ISSN: 2395-0072

www.irjet.net

Implementation of Route Suggestion System over Natural Language Processing Waseem Ansari1, Nishant patil2, Uddhav Sharma3, Praful Pawar4, Tukaram Gawali5 1,2,3,4Undergraduate 5Professor,

Students, Computer Department, SVKM’s Institute of Technology, Dhule, Maharashtra, India Dept. of Computer Engineering, SVKM’s Institute of Technology, Dhule, Maharashtra, India

---------------------------------------------------------------------***--------------------------------------------------------------------technology, the most common method of providing Abstract - Along with traffic and road conditions, climate recommendations was based on estimates. and weather forecast are also very important factors which need to be taken under consideration by tourists before Unfortunately, there are many factors that prevent a planning their short travel or long trips and tours since no one decision support system from being able to provide likes to get caught in heavy rain while travelling. There are lot effective and accurate recommendations. These include of cases of road mishaps caused due to bad weather the lack of scalability, reliability, and personalization conditions. Here in this project we want to propose an theories. automated system which can help people suggest best possible routes after comparing all possible routes from the starting point to destination on the basis of the weather forecast along the routes, traffic and road condition. A new source or location can be added to the project and learning can be gained from travelers’ experiences. This system will help travelers find the best route to their destination by collecting feedback from their visitors. It will then provide them with suggestions on the best routes and destinations. The system is very user friendly and will allow the users to make their own decisions regarding the travel experience.so that there won’t be any interruption while driving. The solely purpose of the proposed system is to provide the perfect information to the user for his/her journey and make user’s journey safer. The system will be highly accurate so that system will have a good experience over using it

Numerous Studies have shown that severe weather conditions can significantly affect a person's driving speed. This is because worsening pavement conditions can lead to reduced visibility and vehicle movement. It is also possible that the weather conditions can cause drivers to change their routes. Unfortunately, as of today, this information is not included in the travel time predictions of private drivers. Climate and Weather has a significant influence on navigation processes. Nowadays Human Machine Interfaces (HMIs) are commonly used in navigation systems. These systems can be useful in calculating the optimal route for vehicles on the road. In addition, they can also take into account weather forecasts., It will be highly beneficial for the travelers to get the prior information of the weather forecast of the place they are heading towards. The motivation behind this idea is come from google map which is a web-based as well mobile app for navigation system developed by Google. This project comes under the segment of user safety from natural events and Tech, where the goal is to make the travel journeys of user safer and secure using the latest technologies with the higher accuracy, dependability and flexibility.

Key Words: Navigation System, Weather Forecast, Natural Language Processing (NLP), Traffic, Route Suggestion etc…

1.INTRODUCTION Today, people are very conscious of their time and money when it comes to travelling. They want to avoid spending their precious time and money on a long route. The planning process for a trip is complex and involves various factors such as the quality of the destination, the cost of the trip, and the number of people travelling. Due to the rise of Internet and ICT technologies, the tourism industry has started to rely on these tools to improve its operations. A decision support system known as a recommendation system (RS) helps tourists and tour operators make informed decisions regarding the various attractions and events they can visit. Prior to the implementation of this © 2022, IRJET

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The rest of this paper follows the following format. In section 2, we discuss literature work on existing systems in the domain of route suggestion and navigation. Limitations and drawbacks of the existing systems are discussed in section 3. The implementation methodology and underlying components of the proposed system are described in Section 4. Finally, In Section 5 we conclude the paper.

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