The aim research is to find the exact level of Parkinson disease with reference to the manual evaluation and the evaluation through image processing techniques. Support vector machine classifier has been used at the final stage to detect the accuracy of the system. While dealing with the image processing technique, initially collect the data based on handwriting evaluation. Various words along with some sentences have been directed to the PD patient to write in their own handwriting from which the evaluation of severity has been calculated. Hypophonia has been focused in this study for analyzing the level of PD based on rating scales available and at last compared with an innovative rating scale “ABHITA” for calculating the severity of PD. Objectives: To develop a system which detect whether the DBS is required for PD patient or not. To manually evaluation for detection of PD level as per “ABHITA” Rating scale. Findings: In total 67 patients have been analyzed who have neurodegenerative problem due to which patient unable to move normally and can’t able to hold a glass or anything in daily routine. Significance: Study indicates the clear vision of comparison between existing rating scale with a proposed rating scale ABHITA. The proposed rating scale indicates the level or stage of PD with respect to the symptoms. The study also includes some of the layout of clinical representation which is not compulsory for analyzing the PD Patients, it is only for the knowledge and to collect the dataset from various hospitals. Likewise, during manual evaluation, a questionnaire will be made in the future work to compare the handwriting evaluation with the manually collected questionnaire from different PD patients. As the PD patient is having writing issues then by communicating verbally various analysis will be done. Prior to the compilation of data or collecting of data, a consent form will be filled or submitted by the patient to participate in such survey which will be used to evaluate the degree/ level of PD and the recovery rate of the PD patients. Research analysis in the form of graphical representation has been made to make the idea clearer about the detection and solution of such PD Patients.