Template-Type: ReDIF-Article 1.0
Author-Name:Govind Kumar,Deepa Kumari, Qadir Bux, Madeha Memon, Zartasha Baloch
Author-Email:deepalohana111@gmail.com
Author-Workplace-Name:Department  of  Computer  Systems  Engineering,  Mehran  University  of  Engineering  and Technology
Title:Architectural Framework for Scalable On-Demand Service Aid Platform
Abstract:This innovative web-based platform is designed to connect skilled workers with service seekers, addressing challenges such as accessibility, affordability, and trustworthiness in  the  skilled  labor  market.  The  platform  provides  a  seamless  experience  for  users, enabling  them  to  post  job  requirements,  browse  available  professionals,  and  hire  based  on specific needs, all within an intuitive interface. Built with modern technologies, the platform's front end is developed using HTML, CSS, JavaScript, and Bootstrap, ensuring responsiveness and ease of use. The back end, powered by Java with Spring Boot and integrated with a robust MySQL  database,  ensures  efficient  data  management  and  secure  user  interactions.  The platform’s architecture facilitates smooth navigationand  quick  access  to  essential  features. Service seekers can easily sign up and explore a pool of skilled workers categorized by their expertise, location, and ratings. The system includes a user feedback mechanism that enhances trust  by  allowing  users  to rate  and  review  workers  based  on  their  experiences.  Workers,  in turn,  benefit  from  consistent  job  opportunities  and  the  ability  to  showcase  their  skills  to  a wider audience. This project also addresses the unique challenges of underserved regions, such as Hyderabad,  where  digital  platforms  for  hiring  local  services  are  scarce.  By  providing  a comprehensive solution that caters to diverse household needs, from plumbing to carpentry, the  platform  bridges  the  gap  between  demand  and  supply  in  the  skilled  labor  market.  The research  stands  out  as  a  transformative  tool,  creating  economic  opportunities  for  skilled workers while offering service seekers a reliable and efficient solution for their everyday needs. It  fosters  a  sense  of  empowerment  and  convenience,  making  it  a  vital  contribution  to  the digital transformation of the Labor market.
Keywords:Empowerment, Machine Learning, MongoDB, Labor
Journal:International Journal of Innovations in Science and Technology
Pages:1132-1144
Volume:7
Issue:2
Year: 2025
Month:June
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1392/1942
File-Format: Application/pdf
File-URL:https://journal.50sea.com/index.php/IJIST/article/view/1392
File-Format: text/html
Handle: RePEc:abq:IJIST:v:7:y:2025:i:2:p:1132-1144