Spirometry measurement has not become widely available in healthcare facilities, particularly in places with limited resources. Improved early diagnosis and therapy of respiratory disorders may be possible with the discovery of alternate, more user-friendly approaches. Because of their accessibility and ease of use, Breath Holding Time (BHT) and Peak Expiratory Flow Rate (PEFR) offer potential substitutes. There are a number of obstacles that must be overcome before BHT and PEFR may be accepted as valid measures of lung function. Important phases include developing a correlation with spirometry results, standardizing testing procedures, and taking individual variability into consideration. Furthermore, it is crucial for correct interpretation to address any confounding factors including age, gender, and comorbidities. For the purpose of measuring BHT and PEFR with straightforward and portable instruments, a systematic approach known as the Non-Technician Dependent Approach for Assessing Lung Function (N-TDA-LF) is proposed in the present research. Standardized techniques (ST) will be taught to participants, and data will be captured using interfaces that are easy for anybody to use. For the purpose of to assess the connection between BHT, PEFR, and spirometry findings, statistical methods such as regression models and correlation coefficients will be utilized. A wide range of therapeutic settings, such as general care, emergency rooms, and community health screenings, are all potential applications for the technique that has been presented. It is appropriate for usage in low-resource or distant areas where spirometry may not be easily accessible due to its simplicity and low cost. In addition, it may be easily integrated into everyday healthcare practices and adopted by a large number of people without requiring technical expertise. The practicality and reliability of BHT and PEFR as lung function equivalent tests will be investigated through simulation studies. A full performance evaluation will be able to be carried out under a variety of circumstances because to the generation of virtual patient cohorts that reflect a wide range of demographics and lung diseases. The simulation results will validate the effectiveness of the suggested technique and help with the improvement of measuring protocols