This review article discusses the use of sorbents and machine learning in enhancing hydrogen storage efficiency. Hydrogen is considered a promising clean energy source, but its storage remains a challenge due to the need for high pressures and the associated safety and cost issues. To address these challenges, advanced hydrogen sorbents such as metal-organic frameworks (MOFs), covalent organic frameworks (COFs), porous carbon-based adsorbents, zeolites, and high-entropy alloys are being explored. These materials offer improved stability and hydrogen uptake. Machine learning is also playing a significant role in predicting efficient storage materials and optimizing their properties. Hydrogen is primarily produced through steam reforming of natural gas, which accounts for 96% of global production, and through electrolysis, which accounts for the remaining 4%. Renewable sources such as solar and wind energy are being explored for hydrogen production, offering a cleaner and more sustainable alternative. However, the current methods of hydrogen storage, including compression and liquefaction, have limitations in terms of efficiency, safety, and cost. Solid-state storage, such as metal hydrides and carbon-based materials, is being increasingly recognized as a safer and more efficient alternative. Metal-organic frameworks (MOFs) are highly porous materials that can store hydrogen efficiently. They have been shown to have high surface areas and can store up to 10 wt.% hydrogen. COFs, which are similar to MOFs but composed of organic molecules, also show promise for hydrogen storage, with some COFs capable of storing up to 6.8 wt.% hydrogen. High-entropy alloys and advanced composites are also being explored for their improved stability and hydrogen uptake. Machine learning is being used to predict the properties of hydrogen storage materials and to optimize their design. This technology is helping to identify materials with high hydrogen storage capacities and to improve the efficiency of storage methods. The review highlights the potential of these materials and technologies in enhancing hydrogen storage efficiency and making hydrogen a more viable energy source for the future.This review article discusses the use of sorbents and machine learning in enhancing hydrogen storage efficiency. Hydrogen is considered a promising clean energy source, but its storage remains a challenge due to the need for high pressures and the associated safety and cost issues. To address these challenges, advanced hydrogen sorbents such as metal-organic frameworks (MOFs), covalent organic frameworks (COFs), porous carbon-based adsorbents, zeolites, and high-entropy alloys are being explored. These materials offer improved stability and hydrogen uptake. Machine learning is also playing a significant role in predicting efficient storage materials and optimizing their properties. Hydrogen is primarily produced through steam reforming of natural gas, which accounts for 96% of global production, and through electrolysis, which accounts for the remaining 4%. Renewable sources such as solar and wind energy are being explored for hydrogen production, offering a cleaner and more sustainable alternative. However, the current methods of hydrogen storage, including compression and liquefaction, have limitations in terms of efficiency, safety, and cost. Solid-state storage, such as metal hydrides and carbon-based materials, is being increasingly recognized as a safer and more efficient alternative. Metal-organic frameworks (MOFs) are highly porous materials that can store hydrogen efficiently. They have been shown to have high surface areas and can store up to 10 wt.% hydrogen. COFs, which are similar to MOFs but composed of organic molecules, also show promise for hydrogen storage, with some COFs capable of storing up to 6.8 wt.% hydrogen. High-entropy alloys and advanced composites are also being explored for their improved stability and hydrogen uptake. Machine learning is being used to predict the properties of hydrogen storage materials and to optimize their design. This technology is helping to identify materials with high hydrogen storage capacities and to improve the efficiency of storage methods. The review highlights the potential of these materials and technologies in enhancing hydrogen storage efficiency and making hydrogen a more viable energy source for the future.