Due to popularity of smart devices and wireless mobile networks nowadays it is possible for a crowd of people to easily participate in location-based tasks which lays the way for spatial (geo-location based) crowd sourcing process. So we are about to develop a spatial crowd sourcing platform for assigning spatial task to the worker considering the task’s required skills under specific time constraint and budget. Finding an optimal worker to assign a task is very essential which creates an important problem known as multi-skill spatial crowd sourcing. Many existing task assignment platform helps in assigning task automatically based on spatial information and skill constraints but they are not considering multi skill constraints of worker to assignment a task or process which produce an optimal solution to the hiring person or employer. To solve this problem we propose three effective heuristic approaches, including greedy, g-divide and-conquer and cost-model-based adaptive algorithms to get worker-and-task assignments without any computational overhead. We are a mobile marketplace for local services. We help customers hire trusted professionals for all their service needs. We are staffed with young, passionate people working tirelessly to make a difference in the lives of people by catering to their service needs at their doorsteps. Be it getting a plumbing job done, improving and decorating your home, we are a sure shot destination for your service needs. Copyright © 2018 American Scientific Publishers. All rights reserved.