With the recent technological tools like ChatGPT and AI (Artificial Intelligence) influencing language learning, the importance of implementing blended classroom teaching methods become inevitable. To adapt to these innovations in language teaching this study attempts to develop the speaking skills of engineering students through visual adaptation of a short story using Task Based Language Teaching method. Students from Madras Institute of Technology (MIT) pursuing their education from engineering studies underwent language teaching through Task Based Language Teaching approach. In pre-test by using the traditional lecture method the performance of the student is assessed by giving them a task like role play to enact using dialogues and they are scored based on their performance. Likewise, in the post-test using traditional lecture method for control group and Task Based Language Teaching (TBLT) method for experimental group the performance of the students is assessed by giving them a task like role play to enact using dialogues and they are scored based on their performance. The TBLT method is introduced through the visual adaptation of short stories from the selection of R.K.Narayan’s ‘Malgudi Days’. With the help of assessing the parameters of speaking skills such as Accuracy, Fluency and Content from the role play enactments; the marks scored by the students are recorded. By quantifying the performance of the students in the pre-test and post-test the scores are analysed to find the most appropriate method that can be employed in English language classroom of engineering students.