endorsedCompleted

AI-Powered Photo Matching Platform for Events

Services Covered:

AI and Machine Learning • Website Development

Industry

Arts, Entertainment & Recreation

Duration

5 months

Budget

50K - 199K

Start Date

1 November 2024

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

78/100

Good

Project Capability Score (PCS) estimates how capable Techstack Ltd is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Portland, United States of America

Project Summary

Techstack delivered end-to-end AI and web development for a match-funding platform, building a deep convolutional neural network for robust face detection and matching and creating a web portal with search by selfie, bib number, and event timeline. They integrated watermarking and payment features for photographers, restructured the backend into a serverless cloud architecture that halved hosting costs, and provided quality assurance. The client reported that the solution met expectations, milestones were met on time, and communication and engineering culture were exemplary.

Key Challenges

Improve face-matching accuracy across varied real-world conditions (lighting, angles, clothing changes)
Enable participants to quickly find their photos
Provide photographers with tools to upload, tag, and sell images

Project Deliverables

Deep convolutional neural network model for face detection and matching
Web portal with search by selfie, bib number, and event timeline
Watermarking and payment integration for photographers
Serverless backend refactor to reduce hosting costs

Project Solution

Techstack provided an end-to-end solution combining AI and deep learning with full web development, cloud architecture, and QA. They built a deep convolutional neural network for face detection and matching, created a web portal that allows users to search photos by selfie, bib number, or event timeline, integrated watermarking and payment features, and restructured the backend into a serverless cloud setup to reduce hosting costs while maintaining performance.

Project Outcome

AI-powered matching enabled participants to find photos within seconds
Photographers could upload, tag, watermark, and sell images directly through the platform
Event organizers saved significant time by eliminating manual photo sorting and distribution
Backend refactor reduced ongoing hosting costs, improving long-term platform scalability

Platforms

Web
Cloud

Tech Stack

Serverless

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Techstack delivered a solution that met the client's expectations. The team managed the project seamlessly and approached it with care and precision. Moreover, the team met every milestone on time and kept communication open. Overall, the client was impressed with the team's engineering culture.”
Nathaniel Van Cleve
Head of Product
Date: 08/13/2025