The method employed to conceal data in various formats, including text, photos, music, and video, is called steganography. A number of techniques are being developed to conceal sensitive information in photos, including the commonly employed method of image steganography. Although they are highly imperceptible and have a large hiding capacity, traditional steganography methods like LSB and DCT aren't secured. This thesis proposes a novel method that applies singular value decomposition (SVD) to obtain singular values and a discrete wavelet transform (DWT) to obtain the wavelet coefficient on the front picture. A non-dominated sorting genetic algorithm is used for incorporating the secret image into these solitary values after it has been jumbled using chaos. The primary objective of the technique that is being given is to enhance the stego-image's quality of image and embedding capacity. The algorithm is made more secure with the use of scrambling. In terms of PSNR, the experimental findings demonstrate that the suggested method performs better than similar methods. The quantity of data concealed and the standard of photography of the cover picture are two factors taken into consideration when estimating the model's efficacy.