Inspiration
In today’s digital world, once an image is shared online, users lose control over it. Cases of image misuse, leaks, and unauthorized sharing are increasing rapidly. We were inspired to build a solution that gives users control, ownership, and protection over their digital content in a simple and accessible way.
What it does
LeakShield AI allows users to upload images and embed hidden ownership data within them. It can later detect if the same image is reused and flag it as a potential misuse. The system also provides a risk level to indicate whether the content might have been leaked or reused.
How we built it
Backend : Python / Flask Frontend : CSS / HTML Image Processing : Numpy Enbbeded Ownership : Pillow
Challenges we ran into
Embedding data into images without affecting their visible quality. Faced issues in ensuring consistent detection of reused images and handling file uploads smoothly. >Structuring the application and deploying it online was another key challenge that we successfully
overcame.
Accomplishments that we're proud of
We successfully built a working prototype that demonstrates image ownership and reuse detection. We also deployed the application live, making it accessible to anyone. The project combines simplicity, usability, and real-world relevance, which we are proud of.
What we learned
We learned how to work with image processing techniques and understand how digital ownership can be implemented. We also gained experience in building and deploying full-stack applications. Most importantly, we learned how to turn an idea into a working solution under time constraints.
What's next for LeakSheild Ai
In the future, we plan to enhance LeakSheild AI by integrating AI-based image recognition and expanding detection across social media platforms. We also aim to build a stronger tracking system that can help trace the origin of leaked content.
Log in or sign up for Devpost to join the conversation.