Ai Powered Vehicle Maintanance slides.pptx

This is Ai Powered Vehicle Maintenance system project presentation

1. AI POWERED VEHICLE MAINTENANCE SYSTEM Under esteemed guidance of: Ms. T. Sai Lakshmi MTech, Asst Professor, MCA Dept. Presented by: Sk. Babulal 22H41F00C0 MCA Final Year BONAM VENKATA CHALAMAIAH INSTITUTE OF TECHNOLOGY AND SCIENCE, AMALAPURAM DEPARTMENT OF MCA – MASTER OF COMPUTER APPLICATIONS

2. Contents: Abstract Introduction Existing System, Drawbacks Proposed System, Advantages Requirements Modules System Architecture Data flow diagram Sequence Diagram Use Case Diagram Class Diagram Output Screens Conclusion Future Enhancement

3. Abstract: The automotive industry is undergoing a transformation with the integration of Artificial Intelligence (AI) into vehicle maintenance processes. This abstract provides an overview of an AI-powered vehicle maintenance system, which leverages machine learning algorithms and sensor data to optimize maintenance schedules, predict potential issues, and enhance overall vehicle reliability. The integration of AI in vehicle maintenance not only reduces operational costs but also contributes to improved safety and efficiency. The AI-powered vehicle maintenance system utilizes data from various sensors embedded in the vehicle, capturing information related to engine performance, tire condition, brake wear, and other critical components. Machine learning algorithms analyze this data to establish patterns, detect anomalies, and predict potential maintenance needs. The system is capable of learning from historical maintenance records, driving conditions, and vehicle usage patterns to make informed predictions

4. Transport vehicles play a pivotal role in the seamless logistics flow and the day-to-day operations of numerous industries. These vehicles, whether trucks transporting goods across continents, buses ensuring citizens get to their destinations on time, or service vehicles ensuring that essential services are rendered promptly, are the unsung heroes of our modern economy. To maintain this level of reliability, the vehicles themselves need to be in prime condition, with every part functioning as it should. The ability to gather and analyze data about assets enables an organization to transition from corrective to vehicle maintenance. Vehicle maintenance is also a key goal for fleet operators, particularly transportation and logistics companies, where downtime is exceedingly expensive. Introduction :

5. The majority of auto repair companies and garages still conduct their daily business using manual techniques. keeping track of customer information, tracking the status of vehicle repairs, Billing, client interactions, and vehicle service updates are still handled manually. Both the car dealerships and the buyers find this type of transaction to be time-consuming. To handle service requests and carry out other necessary tasks related to vehicle servicing, customers must personally visit garages. The functioning and response time of the garage to client enquiries will be slowed by the ongoing usage of manual procedure. Existing System:

6. Drawbacks of Existing System: Poor Fuel Economy Compromised Safety Inconvenient Downtime Diminished Appeal Oil Sludge Buildup Increased Repair Costs Lower Resale Value Voided Warranty

7. In addition to the home page, there are two boards: Admin, for instance, a store, and the Customer. The login credentials enable the consumer to access a range of services after logging in. Before beginning your work, provide information to the shop or the car. The administrator will confirm the automobile information, customer information, and overhaul details before sending the assignment to the staff. After providing his information and inspecting the region, the customer will add his adjusting information and then wait for the opening to happen. Proposed System:

8. Advantages of Proposed System: Increase Vehicle Performance Secure Your Safety Better Fuel Efficiency Prolong Your Car’s Life Remove Unnecessary Car Repair Costs Be Kind to The Environment A Solid Maintenance Record Lower Operation Costs Better Resale Value Peace of Mind

9. System Specification Software Requirements: Software Requirements : Python using AI, Django Operating Systems Supported : windows 10 and above, MacOS or Linux Debugger and Emulator : Any Browser(particularly Chrome) Hardware Requirement: Memory (RAM) : 4GB DDR4 Hard Disk : Minimum 10GB Processor : Quad core with 3.0 HZ Frequency Input Device : Standard Keyboard and Mouse Output Device : VGA and High Resolution Monitor

10. Modules: Admin Module Dashboard Customer Dashboard Enquiry Mechanics Modules

11. System Architecture:

12. Data flow Diagram:

13. Sequence Diagram:

14. Use case Diagram:

15. Class Diagram:

16. Output screens: Step - 1

17. Step – 2:

18. Step – 3:

19. Step – 4:

20. Conclusion In conclusion, proactive vehicle maintenance is essential for preserving the reliability, safety, and value of your vehicle. By investing a little time and money into regular upkeep, you can enjoy worry-free driving and avoid costly repairs in the future. There is a lot to learn in service and maintenance of vehicle process. More improvement in service procedure can be done to achieve highest service satisfaction. There are many problems while servicing a vehicle for which we have to go beyond engineering application and prescribed method.

21. Future Enhancement The potential environmental and economic benefits of the proposed system were demonstrated , including reduced waste, resource consumption, energy consumption, and emissions. However, several challenges and limitations associated with the system’s implementation were identified, including sensor durability, data privacy, and quantum computing hardware constraints. Possible solutions and mitigation strategies were proposed to address these challenges. Overall, the proposed system has the potential to revolutionize the field of predictive maintenance, improving system reliability, and reducing environmental and economic costs. Further research and development are needed to optimize the system’s performance and address the identified challenges and limitations.

22. Thank You…..