Gigtroop: A Home Service Provider Application

Sujata Wankhede*, Yogesh Katre**, Sonali Walke***, Sagar Pokhare****, Suvidya Mandlik*****, Yash Wadichar******
*-****** Department of Computer Science and Engineering, S. B. Jain Institute of Technology, Management and Research, Nagpur, Maharashtra, India.
Periodicity:July - December'2024
DOI : https://doi.org/10.26634/jmt.11.2.21223

Abstract

Urban life presents a challenge in managing work, family, and unexpected home repairs, which can disrupt even the most balanced schedule. In the modern, fast-moving lifestyle, the desire for a hassle-free home is paramount. People crave reliable doorstep service without the burden of negotiation. E-commerce emerges as a solution. A meticulously crafted system addresses these needs by delivering high-quality home maintenance services tailored to individual requirements. Seamless convenience is brought right to the doorstep. The comprehensive services offered encompass repairs, cleaning, appliance installations, renovations, and more. A team of skilled professionals is dedicated to providing top-notch service at competitive prices. Effortless access is guaranteed. The user-friendly platform boasts a streamlined booking process, making it easy for anyone to schedule service. Comfort and satisfaction are redefined for families. This one-stop solution for all home service needs alleviates the burden of maintenance, providing peace of mind and a newfound level of convenience. The aim is to enhance the quality of life for all users.

Keywords

Urban Life, Home Maintenance Services, E-commerce Solution, Doorstep Service, Convenience, Skilled Professionals.

How to Cite this Article?

Wankhede, S., Katre, Y., Walke, S., Pokhare, S., Mandlik, S., and Wadichar, Y. (2024). Gigtroop: A Home Service Provider Application. i-manager’s Journal on Mobile Applications & Technologies, 11(2), 34-40. https://doi.org/10.26634/jmt.11.2.21223

References

[1]. Abhay, C., Shinde, S., & Birla, S. (2023). Streamlining home service website with virtual assistant AI. International Research Journal of Engineering and Technology (IRJET), 10 (11), 678-686.
[4]. Balvir, S. U., Raghuwanshi, M. M., & Borkar, P. S. (2024). Node2Vec and machine learning: A powerful duo for link prediction in social network. Journal of Electrical Systems, 20(2s), 639-649.
[6]. Bhalgat, K., Desai, S., Mayanaikar, R., Pardeshi, A., Dhakulkar, B. (2021). MAZDOOR”- online application for household services. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 8 (3), 17-23.
[7]. Bhamare, V., Teli, P., Waykole, G., Bhalerao, R., & Khandave, V. (2024). Housekeeper recommendation system using machine learning. International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, 12 (5), 1-5.
[8]. Bhawarthi, A. A., Muley, K., Amrutkar, K., Kawade, D., Kausadikar, A., Kawane, A., & Singh, K. (2023). Website for home service provider. International Journal of Innovative Research in Technology (IJIRT), 10 (1), 142-145.
[9]. Gupta, A., Kasana, A., Dabral, A., Kamboj, P., & Ziya, F. (2021). Needsara: A web based application for home services-review paper. Journal of Emerging Technologies and Innovative Research (JETIR), 8 (7), b159-b161.
[10]. Gurav, S., Aswad, S., Safiullah, K., & Mansi, N. (2024). Doorstep home services. Journal of Emerging Technologies and Innovative Research, 11 (10), c624- c628.
[11]. Rakhewar, M., Pawar, P., Rajput, K., & Khartadkar, R. (2023). Web-Based service- providing platform (Labour Mitra). International Journal for Research in Applied Science & Engineering Technology (IJRASET), 11 (V), 5083- 5087.
[12]. Thoutam, N., Jaware, H., Zambare, K., Shelke, D., & Deshmukh, S. (2022). Door to door all in one delivery and home services. International Journal of Creative Research Thoughts (IJCRT), 10 (1), e458-e462.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 15 15 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.