To address these issues, we have employed adaptive neural network-based control strategies that also take into account aspects including a smaller family, assessed conjunction, a lengthy feeding duration, and poor performance. This leads to the presentation and discussion of a revolutionary solar cooker that uses adaptive control using an online Sequential Extreme Learning Machine (OSELM). The efficiency of the cooker was improved by 37.69% and 49.21% utilizing 10% and 15% volume fractions of nanoparticles, respectively.