Parkinson’s Disease (PD) is a progressive nervous system disorder that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires neurologists or PD specialists to be involved, which is not accessible to most old people. Therefore, we came up with the idea to integrate modern technology of Data Science and Software Engineering to bring about an intelligent solution to the issue, which could benefit people woldwide. The article mainly introduces about our main research design of the project stage by stage and how we implement it in real world. Up till now, we have constructed the preliminary version of the model, which could already make accurate diagnosis but still not robust enough. In the future, we are planning to continue on this project and improve our implementations of data collection and model construction to further optimize our system.