I run a little business in photo service. We sell photo at local events ( sports , dancing etc ).
At the moment I use Jalbum to create static gallery , a laptop as server , and some pc as clients. People can see and choose their photos on the clients' monitor, I see their shopping cart on my laptop and I print the photos.
I need a software to create dynamic web gallery , responsive and touch optimized, with shopping cart embedded.
The gallery must be organizable in album. I need face recognition to create a web page simply touching the face in the photos.
Everything has to work offline, face recognition and grouping too.
I'm good with open source and existing solution modified to answer my needs.
I need something like this:
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Bu iş için 8 freelancer ortalamada €257 teklif veriyor
Hello Sir, We are team of developers. We read your project description and we understand your requirement also We have great experience in this field we are available to discuss the project thank you We already i Daha Fazla
Hello, dear! I am interested in your project. I have extensive experience in face and facial recognition, emoji recognition and fingerprint recognition using deep learning(CNN, RNN, Faster R-CNN). I am confident in Daha Fazla
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I am a hard worker with fast learning capability. A results-driven, customer-focused, diligent and analytical Software Engineer who strive for self-development. Strong in design and integration problem solving skills. Daha Fazla
Hi,there. I've just checked all requirements of your project 'I would like to hire a Face Recognition Expert'. I'm senior software developer and I'm able to perform your project and you'll be interesting with me,please Daha Fazla
Hi, I can start immediately I am expert mobile app developer having 7+ years of experience. I have developed face recognization app few days before for my client. I love to build app for you and I am sure you will fin Daha Fazla
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Hi, Gautam is here from Rts having 5+ years of experience in software development. I have been developing a website where we need to login by using face recognition of user. Once, the face of user will be successfull Daha Fazla