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Using the deferential equation, building a mechanics supply chain using a cross-platform Vroom application

JOURNAL:MAZEDAN INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS

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# Authors First Online DOI Downloads Citations
1. Vijay Pathak*, Sanjay Singh 27 Jun 2021 NA 11 0
Abstract

We tested our backend to discover the nearest mechanic based on a user's geolocation and found that our algorithm always returns results under 12000 milliseconds. This is incredibly efficient and may be utilised in production. On a lengthy drive, your vehicle breaks down and you look for help, but no one comes. Just remember us once, and we'll be there to rescue you from such a dilemma and save your vacation from becoming a nightmare. By clicking on your phone, you may fix this difficulty and enjoy your journey. You wake up to flat tyres or a dead battery, but there's a Doorstep Pick-up and Drop facility, so no more workshops/garages. Get your car fixed or a new body component installed at your doorstep at a competitive price. During a pandemic, mechanics too struggle to locate customers. Creating a supply demand chain for mechanics is needed. People confront unreasonable pricing for body parts, and more than half of clients prefer multi-brand service centres over brand-authorized repair centres. The multibrand vehicular repair sector has significant potential, and we want to target this area with technology to create a win-win situation for all stakeholders (Users, Mechanics, Company).

Keywords

mechanics, supply and demand, Location based mechanic app.

References

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    [2]   Shruti Sapra (Thakur), Dr. Avinash S. Kapse, “Constructive Approach for Text Summarization Using Advanced Techniques of Deep Learning”, 5 th International Conference on Intelligent data Communication and Technologies and Internet of Things (ICICI 2021), http://icoici.org/2021/978.981-16-7610-9 Series of Springer.

    [3]   Shruti Sapra (Thakur), Dr. Avinash S. Kapse, “Analysis of Effective Approaches for Legal Text Summarization Using Deep Learning”, “International Journal of Scientific Research in Computer Science Engineering and Information Technology”, http:// ijrcseit.com/paper/CSEIT21849, ISSN: 2456-3307, pp. 53-59

    [4]   Pranita P. Deshmukh, Yash S. Puraswani, Aditya D. Attal, Prasad G. Murhekar, Vivek A. katole, Vidhitya M. Wankhade (2020), “ON ROAD VEHICLE BREAKDOWN ASSISTANCE SYSTEM”.