Inspiration

Generic paternity tests can be extremely costly, time-consuming, invasive, inaccessible and overall inefficient for a life-changing event. Our project looks to streamline this deficiency and provide a convenient and reliable option for determining paternity, allowing individuals to obtain results quickly and easily from the comfort of their own homes.

What it does

Our final design was implemented through a web server, which is able to take in two images from a user's local machine and output the results of the paternity test by inputting them into a neural network.

How we built it

The infrastructure of the project includes the front end, which was developed using Javascript, HTML and CSS programming languages. Images are then sent to the back end via flask where it is further preprocessed and then put through the neural network created using python.

Challenges we ran into

Throughout the course of this hackathon several challenges and difficulties were encountered. Creating a working and effective neural network was a major endeavor due to its overall complexity. Moreover, preprocessing the data and ensuring that all images were of correct size and input was a major endeavor that was worked on for several hours.

Accomplishments that we're proud of

One major accomplishment that our group is proud of, is the development and final outcome of the website designed. Even though our members had little to no experience with HTML and CSS programming languages, the final design was professional whilst also elegant with all functionalities working properly. Another major accomplishment for the team was the final outcome of the neural network used. After several hours of research and development the team was able to implement an accurate and efficient model which produced the best results.

What we learned

Through this process our group was able to further develop valuable skills such as teamwork, project management, problem-solving, and communication. Our group was also grateful to have the opportunity to use new technologies, learn new software's and work with mentors and industry experts provided by QHack's.

What's next for whosurdaddy

In the future, there are several functionalities and developments that could improve on the final design of the project. Future implementation of maternity or sibling test could improve accessibility for all stakeholders. In addition, further testing of different neural networks or other models could potentially improve the accuracy and efficiency of the project.

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