Revolutionizing Vehicle Management through Intelligent Vehicle Assistance
Main Objective
Empower drivers with the necessary skills and information to quickly recognize vehicle problems and provide them with valuable insights beforehand to prevent unexpected issues.
Research Problem
This research aims to address the common problems faced by vehicle owners such as lack of knowledge on vehicle maintenance, difficulty in finding spare parts, challenges in choosing the right insurance policy, and absence of a proper platform to compare insurance policies. The objective of the research is to provide solutions for these day-to-day problems, making it easier for vehicle owners to manage their vehicles during normal and emergency situations.
Member 1- Sahan A.K IT20154912
Vehicle breakdown
Research problem
This research aims to address the challenges of vehicle breakdowns and the associated difficulties faced by owners. Current technology falls short in providing adequate solutions, resulting in owners' vulnerability to exploitation and unnecessary expenses. To overcome these issues, the research proposes developing a comprehensive system that offers accurate information, guides owners in resolving breakdowns, and incorporates a chatbot for improved communication, empowering owners and enhancing their experience in managing breakdowns.
Objectives
To develop a comprehensive vehicle breakdown system that provides users with information on how to resolve main types of breakdowns.
To integrate a Chatbot feature into the system to offer personalized assistance to users.
To provide users with the locations of nearby service stations or garages that are relevant to their input breakdown.
Member 2 – Samarawickrama H.N IT20143886
Vehicle maintenance
Research problem
The research problem focuses on the challenges of vehicle maintenance and obtaining reliable information and services faced by vehicle owners. Existing mobile apps lack comprehensive and personalized maintenance tips based on specific vehicle data, resulting in inaccurate predictions and potential expenses. The research aims to develop solutions that provide comprehensive and personalized maintenance guidance for a wide range of vehicle models, addressing these issues and improving accuracy and usability for vehicle owners.
Objectives
Develop a mobile app that provides personalized maintenance tips and information based on data from service stations, vehicle model, make and year.
Increase user awareness and education about vehicle maintenance by providing relevant and personalized information.
Enhance user convenience by providing access to maintenance tips and information at the user's fingertips through their mobile device.
Reduce vehicle breakdowns and repair costs by proactively identifying potential maintenance issues and providing the best matched spare parts regarding user input and location of the store which it can be purchased.
Increase user satisfaction and loyalty by providing a personalized and convenient maintenance solution.
Member 3 - R.M.T.D. Rathnayake IT20096984
Suggestion of best insurance policy company
Research problem
The research problem focuses on the challenges faced by vehicle owners, particularly during the pandemic period, regarding vehicle maintenance, obtaining proper insurance coverage, and accessing reliable assistance. The lack of a suitable platform for evaluating insurance practices and the absence of a reliable mechanism for motorists to contact authorities in emergencies exacerbate these issues. The aim of the research is to develop solutions to address these common and recurring problems, emphasizing the need for accessible information, reliable insurance providers, and efficient communication channels for vehicle owners.
Objectives
The main objective of the Vehicle Insurance Management System Project is to efficiently manage customer, insurance, vehicle, vehicle type, and vehicle maker details. The project aims to minimize manual effort by creating an application program that facilitates the management of customer insurance policies, vehicle information, and customer ID types. Additionally, the system aims to assist new agents in making informed decisions when selecting the most suitable auto insurance policy based on input and recommendations from existing clients.
