Aim: To enhance efficient predictive analysis for self regulating attendance system using Viola jones algorithm compared with support Vector Machine Materials and Methods: The study contains two groups i.e Viola algorithm is developed in the first group and Linear Regression Algorithm developed in the second group contains 104 samples. The sample size forLinear Regression is 52 and sampling technique is VJS (N=52) and G power (value=0.8) Results: The performance has been improved in terms of accuracy for the viola boot algorithm with 79.80% while the has shown an accuracy of 86.10.%. The mean accuracy detection is ±2SD and the significance value is 0.000 (p<0.05) which shows the hypothesis is correct and it is carried out using an independent sample T test. Conclusion: The final outcome of the 79.80% Viola Jones Algorithm is found to be significantly more accurate than the Linear Regression Algorithm 86.10%.