Due to rapid urbanization, cities across the globe are growing exponentially, creating unprecedented challenges for the city planning authorities. Today, technological interventions have transformed interactions between people and the environment. Since cities are always planned to meet the needs of its inhabitants, urban planners need to know the real-time scenario of the neighborhood to draw up a successful strategy. Location intelligence, powered by GIS, can effectively improve the quality of life along with boosting the local economy. This study concentrates on the utilization of crowdsourced geotagged datasets and converting it to useful information to understand the neighborhoods within the rapidly growing city of Indore in India. This study attempts to examine feelings and sentiments that are associated with numerous locations within a neighborhood. Such an approach encourages and ensures effective urban planning at a granular level. It also increased the probability that the future planning interventions will be supported by the public during their implementation phases. The periodic collection and assessment of accessible anonymous crowdsourced database can significantly change the conventional static planning to dynamic and inclusive planning.