A selection of projects where we turned complex business challenges into production-ready AI systems.
Real-estate and retail AI tool that replaces floor materials in room photos in real time. Customers upload a photo of their space and instantly preview any tile or flooring product — increasing purchase confidence and reducing product returns.
High-speed conveyor belt inspection system using computer vision to detect cracked or defective milk packaging in real time. Processes bottles at line speed with bounding box localization, reducing quality control failures and recall costs for dairy producers.
Conversational AI assistant that queries proprietary market databases, generates structured charts, and surfaces business insights on demand. Deployed for a sustainable fashion brand to track segment growth, competitor positioning, and consumer trends.
AI-powered language learning companion that listens to student speech, evaluates pronunciation accuracy in real time, and provides corrective feedback. Achieves 85% accuracy on phoneme-level grading, deployed across K-12 EdTech platforms.
Precision agriculture AI system processing aerial multispectral drone imagery to detect and map weed clusters within crop fields. Generates actionable zone maps for targeted herbicide application, reducing chemical usage by up to 60%.
Underwater computer vision system monitoring lobster tanks in aquaculture facilities to automatically detect molting events. Eliminates manual observation shifts, enabling farms to intervene immediately and reduce post-shedding mortality rates.
AI system that parses complex clinical trial documents and generates plain-language explanations for patients, complete with visual diagrams and step-by-step summaries. Reduces patient dropout and improves informed consent rates in clinical research.
Real-time biomechanics analysis system using skeleton tracking and joint angle measurement to evaluate weightlifting form. Provides instant feedback on posture, range of motion, and injury risk — deployed for gyms and remote physiotherapy.
Multi-face emotion recognition system using thermal-mapped CNN inference to classify facial expressions as happy, surprised, neutral, and more in real time. Used for retail analytics, mental health monitoring, and UX research.
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