Parkinson’s Disease (PD) is a neurodegenerative disease caused due to the loss of dopaminergic neurons in Substantia Nigra pars compacta (SNc). The root cause of the SNc cell death is still an active area of research. PD is characterized by severe motor and non-motor symptoms and is accompanied by high powered beta oscillation in subthalamic nucleus (STN). Our study focuses on effectively managing the symptoms of the disease. Pharmacological intervention and Brain stimulation techniques are commonly used in managing the PD symptoms. Out of these L'DOPA medication is the gold standard that is widely used among PD patients however as the disease progresses the medication becomes less effective and it induces side effects such as Dyskinesias and wearing off mechanism. Deep brain stimulation (DBS) is another widely used therapeutic intervention technique where an electrode is surgically implanted and a mild electrical stimulation is delivered to a specific part of the brain structure. A combination of optimum drug dosage and DBS intervention would be ideal and in this line our study focuses on developing a comprehensive computational model in order to simulate various PD symptoms and come up with an optimal therapeutic intervention strategy to effectively manage the symptoms.