Case Studies

An ad agency owner wanted to see the detailed insights of the campaigns they run, so they needed a tool that could provide them with campaign analytics.

Timur Restaurant contacted us to automate responses to common inquiries. The restaurant owner repeatedly answered the same questions, and missed chats resulted in lost covers. This created inefficiencies and negatively impacted customer service during busy times.

Account managers at Foxergo are burning hours writing post-campaign and weekly reports. The work was dull and often resulted in hours of manual work.

The system uses several cameras to turn people and their surroundings into accurate 3D models, making complicated scenes easier to work with. We believe in keeping advanced technology accessible for everyone.

A mask detection system that uses facial recognition and computer vision to spot missing face masks and sends alerts when needed. The system works for businesses and different public sectors.

A machine learning model was built so that accurately detects hands and checks glove use, making it easy to integrate into everyday operations across different industries. It works well in many places, such as offices, schools, hospitals, and even risky work sites.

The path through market segmentation models was full of challenges. Still, combining expert knowledge with fresh ideas led to a new framework. The RFM-based Customer Segmentation Model turned out to be a useful tool. It helped the client find valuable customer groups for more focused marketing.

An eCommerce platform that goes beyond regular online shopping by offering an immersive try-on experience. To develop this tool, the team used advanced machine learning for body segmentation and garment projection. This ensured every item fit the user’s live image.

A machine learning water leakage detection system was built to stop leaks in toilet tanks and prevent property damage. During development, the team had to deal with fitting a heavy ML model into a device with limited memory. They also worked on keeping it connected to the internet at all times for it to work well.

Building this platform wasn’t easy. The team had to collect and organise data and work with different document formats. However, progress was made on several tough challenges. A reduction in search times from a lengthy 20 minutes to a mere 0.2 seconds.

A traditional car dealership work faster and make smarter decisions when buying and selling cars. Using SQL for data mining and combining clustering methods (DB scan, Agglomerative clustering, K-means) with Ensemble learning, the team built a new algorithm.