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essentials

Face-Matching Web Application Backed by Deep Neural Network

MNDA

Enterprise/Corporation
Company Type
Oregon, United States
Location
Project work
Engagement Model
6 - 10 people
Team Size
9 - 12 Months
Duration
$100K - $150K
Budget

About

This face and image matching service provides a convenient solution for those seeking quick access to their photos taken at mass events. The solution allows users to effortlessly locate all of their photos by matching them to a face or specific images. With this tool, users will never have to sift through countless photos to find theirs.

Challenge, approach, and impact

Challenge

Storage and filtering: The size of the database required for such a service had to be massive, which posed a challenge in terms of processing power and data storage. We had to come up with an efficient and scalable data management system that could store thousands of photos and make them easily accessible to photographers and participants. Highly accurate facial recognition system: Our team had to develop and implement a highly accurate and advanced facial recognition syste

How we built

AI & ML Solutions
Website Design
Web Apps
Enterprise Software
Mobile Apps
Architecture
API
Databases

Testimonials

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Techstack

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Team structure

Client team

Under NDA U

CEO

The client stakeholders were working closely with the team at Techstack

Agency team

Sofrware Developer

Production

Project Manager

Governance

QA Engineers

Production

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