International Journal of Science, Engineering and TechnologyAuthors: Yashraj N. Bhosale, Anushka A. Bhavsar, Aniruddha S. Avhad
Abstract: In today’s fast-paced digital world, people capture countless photos, notes, and voice recordings to preserve their memories. However, these memories often remain scattered across multiple devices and platforms, making it difficult to organize or revisit them meaningfully. Cherish Cloud addresses this challenge by offering an intelligent, cloud-based platform that securely stores, analyzes, and retrieves multimedia memories enriched with emotional insights. The system combines cloud computing with Artificial Intelligence (AI) and Natural Language Processing (NLP) to convert voice recordings into text, detect emotions from content, and enable emotion-based or semantic memory searches. Built using HTML, CSS, JS for the frontend and Flask/Django for the backend, the platform incorporates AES encryption and JWT authentication to ensure data privacy and security. The proposed model’s evaluation focuses on parameters such as system performance, response time, and accuracy of emotion detection. Results demonstrate that Cherish Cloud provides users with a secure, emotion-aware, and easily accessible digital memory vault, offering a more personal and meaningful way to relive past moments compared to traditional storage systems.
DOI: http://doi.org/10.5281/zenodo.18297341
