Portfolio—Case Studies

Our Recent Work

Explore how we've helped businesses across industries leverage custom AI to solve complex problems and drive measurable growth.

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Retail & E-commerceComputer Vision

Sneaker Visual Retrieval System

Problem Statement

AlwaysLegit needed a way for their team at expos to instantly identify shoes from photos and match them against a massive 150K+ SKU database, often in challenging real-world lighting and backgrounds.

"150K database. Unique colour-weighted matching. Sub-1s retrieval."

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Sports & MediaComputer Vision

Soccer Match Analytics & Insights

Problem Statement

The aim of this project is to give soccer analytics of matches being played. The goal is to build an AI tool that takes as input a video of a soccer match and then analyses each player and extract different analytics. This included: 1. Player and ball detection, 2. Player and ball tracking, 3. Player re-identification, 4. Field detection, 5. Event detection including passes, intercepts, goals etc.

"Multi-stage CV pipeline. Real-time event detection. Player re-identification."

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LogisticsForecasting

Smart Temperature Anomaly Detection

Problem Statement

Monitoring and ensuring appropriate temperatures of stocks such as food items is critical. Variations in temperature can end up damaging the stock. Celsi, a company that provides smart temperature monitoring services, wanted a system for cold storage areas and refrigerators that could automatically raise alarms if the temperature is different than what it should be. This is called anomaly detection.

"ML-based time series forecasting. Automated anomaly alerts. Reduced spoilage risks."

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