Android App Development Expert

In this project, we address the challenges of finding parking spaces in urban environments by developing an innovative mobile smart parking application. Leveraging deep learning, specifically LSTM, the application predicts parking space availability in real-time. By connecting to a cloud-based model, users can access dynamic information on parking occupancy rates at their desired location, reducing the time and energy spent searching for parking. The model's effectiveness is demonstrated through high accuracy results using real-time car parking data from Istanbul, Turkey. Comparative analysis with Support Vector Machine, Random Forest, and ARIMA methods further validates the proposed model's high accuracy and reliability. The project requires expertise in deep learning, cloud computing, mobile app development, and real-time data processing.

**Core Requirements:**
- Develop exclusively for the Android platform.
- Utilizes deep learning, specifically Long Short-Term Memory (LSTM), to predict parking space availability.
- Enable users to view real-time parking occupancy rates and other relevant parameters.

**Skills and Experience:**
- Deep Learning and LSTM.
- Mobile App Development.
- Real-Time Data Processing.

This project will be a great opportunity for someone looking for creative freedom and a client who values professional input and expertise.