The validity and purity of digital pictures have become very important in today's world, where they are used in many areas. Combines blockchain technology with advanced algorithms to show a complete method for finding tampering. Blockchain, with its unchangeable record and autonomous structure, provides a strong basis for protecting the identity of digital pictures. The research uses blockchain's cryptography to make a setting for picture identification that is safe and open to everyone. Any changes to the digital pictures are found using complex algorithms, such as machine learning and computer vision methods. If the pictures are tampered with, these programs look for things like lighting problems, inconsistent pixel patterns, and differences in the information. The suggested method makes sure that altered pictures are correctly identified by mixing blockchain with these complex algorithms. Along with making tamper detection more reliable, combining blockchain with advanced algorithms creates a solution that can be used for a wide range of tasks, from digital forensics to media proof. Extensive tests and case studies show how well this mixed method works in real-life situations, showing how viable it could be. The results show a big boost in hiding tampering, showing that blockchain and advanced algorithms could help protect the accuracy of digital pictures.