Our Projects

Developed a SaaS AI recruitment tool with resume parsing, skill matching using embeddings (MiniLM/BERT), ranking, TestBot assessments, and dashboards. Automates hiring workflows for SMEs and agencies.

Created an ML-based tool for water quality prediction in Lake Ontario, integrating geospatial data with models like XGBoost/LSTM for scenario modeling and UI dashboards. Supports environmental planning for conservation authorities.

Built an AI framework for data management/search in forensics, enhancing the OSCID database with link analysis and entity relationships. Funded by NSERC/OCE for investigative efficiency.

Designed a CNN-based (MobileNetV2) system for automated bacteria species identification from images, with preprocessing and evaluation metrics. Reduces manual microbiology testing time.

Developed an AI pipeline for cleaning Leica RTC360 laser scans, removing noise/transient objects like vehicles/birds with density filtering and motion detection. Enables accurate 3D modeling for surveying.

Created an AI solution with IoT sensors for real-time CNC component monitoring, using ML to detect faults and forecast failures. Enhances manufacturing efficiency.

Built AI models for customer engagement, forecasting behavior and transaction size using historical data. Supports white-label retailers.

Developed an app with AI for jugular vein imaging and predictive diagnostic management, integrating sensors and deep learning for early detection.