The paper presents a comprehensive study on the monitoring of generation of landfill gases, specifically methane (CH4), carbon dioxide (CO2), and non-methane organic compounds (NMOCs) and, the application of AI/ML in geotechnics. 2024 is used as the base year for the study and the generation of these gases for the year 2054, considering a serviceable life of landfills as 30 years, has been projected. The results show the significant energy potential of methane generated from these landfills. Feasibility of IoT-based sensors to collect gas generation data from the solid waste landfills and use machine learning algorithms for predicting the global warming and energy potential has also been presented. The energy potential varies across different cities in India, with cities having a population of 1 million to 5 million showing the maximum potential, followed by cities with a population more than 5 million, less than 5 lakhs, and between 5 lakhs and 1 million, respectively. These techniques can provide real-time monitoring and estimation of methane’s impact on global warming and its energy yield, thereby contributing to effective waste management and energy conservation strategies.