[en] The use of EBT3 Gafchrmoic film in radiotherapy gains popularity due to its easy processing and quick use. Machine QA, Invivo dosimetry, and patient specific quality assurance (PSQA) test for special procedures like SRS requires the use of GafChrmoic films. The calibration, processing and interpretation are mostly affected by user handling and discrepancies in the operating procedures. In this study, to mitigate/minimize such types of errors, ML based approaches is used to perform the analysis and interpretation of the gafchrmoic films for PSQA. ML models can be used an alternative and easy to use tool for prediction of the doses from the gafchromic film scanned images, This limitation of this study is simple assumptions to fit the model without taking into account complex procedure. This study can be further utilized for the patient specific quality assurance tests for special procedures