The fast rise in vehicle density and the scarcity of parking facilities have made parking management in urban settings a major concern. Drivers frequently have trouble finding parking spots, which wastes time, uses more fuel, and causes traffic jams. Conventional parking systems lack effective information retrieval techniques and organised digital help. In order to streamline the parking search process, this study discusses the design and development of a Smart Parking Finder System, a software based lightweight solution. The system incorporates Python backend processing, a structured SQLite database for parking data management, and a graphical user interface GUI created using Tkinter. The program shows the available status in real time and lets users search parking spots based on car type and selected area. The suggested prototype exhibits user friendly functionality, quick reaction times, and effective database interaction. The system offers a useful and affordable strategy appropriate for academic demonstration and small scale implementation. Real time parking updates, GPS based navigation, and Internet of Things integration are possible future improvements. Smart Parking System, Parking Management, Python Application, Tkinter GUI, SQLite Database, Urban Transportation, Parking Slot Availability, Software Based Prototype, Offline Parking System, Database Driven Search. 116-125 Smart Innovations in Computer Science and Applications Special Issue Ananya Deshmukh