Steganography Image Encode ProjectDeveloped an advanced steganography solution using the LSB (Least Significant Bit) method to securely embed, encrypt, and decrypt text messages within digital images. This project combines image processing and cryptography to provide a method for concealing data in a way that makes it invisible to the human eye while maintaining the integrity of the image.Key Features:Text Encoding (LSB Method): Utilize the LSB technique to hide encrypted or unencrypted text within the image pixels with minimal impact on visual quality.Text Decoding: Extract hidden messages from images by analyzing the least significant bits of pixel values.Encryption & Decryption: Secure the text messages using cryptographic algorithms like AES/RSA before embedding and during extraction.File Compatibility: Supports various image formats such as PNG, JPEG, and BMP.Applications: Ideal for confidential communication, digital watermarking, privacy preservation, and forensic analysis.Technologies Used: Python, OpenCV, AES/RSA encryption, LSB (Least Significant Bit) method for data hiding, image processing techniques.This project offers a reliable and secure approach for embedding confidential information within images, making it highly suitable for privacy-focused communication and data protection.