Leaksheild

Inspiration

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 and Flask Frontend : CSS/HTML Image processing : Numpy Hidden ownerships : Pillow

Challenges we ran into

One of the main challenges was embedding data into images without affecting their visible quality. We also 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

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.

What's next for Leaksheild

In the future, we plan to enhance LeakShield 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. Our goal is to make digital content safer and give users complete control over their data.

Built With

• css
• flask
• github
• html
• numpy
• pillow
• render