endorsedCompleted

Web Application for AI-Based Video Metadata and Analysis

Services Covered:

Website Development

Industry

Information Technology

Duration

4 months

Budget

50K - 199K

Start Date

1 January 2018

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

74/100

Good

Project Capability Score (PCS) estimates how capable ULAM LABS 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

NMR

London, United Kingdom

Project Summary

Ulam Labs performed frontend development on a web application for a media consultancy (NMR), implementing a React/TypeScript frontend and a Django-based API backend to support AI-enriched video metadata and real-time video analysis. The team delivered high-quality code, adapted to the client's agile workflow, and produced a demo-ready solution that received strong feedback at trade shows, though the parent company later paused the broader engagement.

Key Challenges

Build a web application to manage administration, storage, and the UI for video content
Create a commercially viable product to monetize and add value to video content
Enrich metadata using AI to analyze video content, including facial recognition and quality analysis
Analyze video streams in real time (e.g., courtroom footage)

Project Deliverables

Frontend implemented in React with TypeScript
Django-based API backend
Frame-accurate video player and optimized web browser UI

Project Solution

Implemented the frontend from provided in-house designs using React with TypeScript, and built a Python/Django backend to expose API functionality. Delivered frame-accurate video players and optimized the web UI for accurate video playback. Worked in agile sprints and provided project management and operations support as part of the engagement.

Project Outcome

Delivered a high-quality product in a timely fashion
Received positive demo feedback at trade shows and the solution continued to be demoed
Integrated with agile practices and met deadlines, including working weekends when required

Platforms

Tech Stack

React.js
TypeScript
Python
Django
JavaScript

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“While stakeholders ceased working on the project, they were pleased with the high-quality code. Demo users praised the solution’s appearance and functionality. A flexible team, Ulam Labs seamlessly adapted to agile working methods. They are a deadline-oriented group.”
David Moss
Head of Development
Date: 06/21/2019