Custom-designed polymerase chain reaction (PCR) platforms enable point-of-care deployment and quicker diagnostic results compared to traditional lab-based PCR machines. However, such platforms suffer from signal non-idealities such as drift, noisy or non-specific amplification etc. This research project is aimed towards using techniques to identify a correct amplification curve autonomously and furthermore process noisy, non-specific amplification to determine if it can be classified as as a valid DNA amplification. The project will involve the development of an algorithm (in Python) for success classification of PCR waveforms. Validation of the algorithm will be performed on our existing experimental data.