FaceDetective is an AI-powered photo album that allows users to find their photos within seconds by simply adding uploading their selfies or photos. This photo album has a dedicated dashboard for photographers where they can upload photos of users. Users are notified when their photos are uploaded so they can find and buy their high-quality pictures.
Renesis Tech fully understands the client’s goals and is guiding them through the development process. The client tracks progress through an online portal, and they have weekly meetings via Zoom. Their team communicates well and the upper-level management is directly involved in project management.
The Renesis Advantage
500+ Albums Sold
Project Management Methodologies
Standards and methodologies that our Renesis teams followed
To ensure the successful launch of this project, we have used the following robust native technology stack: Python, Redis, React.js, Node.js, AWS, and MongoDB among others. For fast deployment, Docker was implemented to ensure collaboration, modularity, and scaling.
We took care of this project from scratch, starting from the implementation of Docker to creating an intuitive UI/UX on Figma and then pushing it to pixel perfect front-end using React.js, integrating AI modules in Python with Node.js, and finally deploying it on Amazon Web Server (AWS) to successfully launch it.
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