Projects
We are proud to share some of the projects we are currently working on. Our technical and specialised focus on artificial intelligence, big data and web and mobile application development has allowed us to work on challenging and innovative projects.
Development of an AI-based Virtual Assistant:
We are working on creating an advanced virtual assistant that uses natural language processing and machine learning techniques to understand and respond to customer queries quickly and accurately. The assistant will be able to provide personalized responses, solve common problems, and direct customers to relevant solutions, all while continuously improving its understanding and responsiveness through machine learning.
Implementing a real-time data analysis system:
We are developing a real-time big data analytics system that enables the logistics company to optimize delivery routes, reduce waiting times and minimize operating costs. We use technologies such as Apache Kafka and Apache Spark to collect and process real-time data, and apply optimization algorithms to determine the best routes and schedule shipments efficiently.
Development of a mobile health and wellness application:
We are creating a mobile application that uses sensors and machine learning algorithms to track physical activity, sleep and other health parameters. The app will provide personalized recommendations to improve users' well-being, such as exercise suggestions, healthy eating habits and rest reminders. It will also integrate with wearable devices to collect real-time data and provide a complete health tracking experience.
Development of an AI-based recommendation system for an e-commerce platform:
We are working on the implementation of a personalized recommendation system using collaborative filtering and machine learning techniques. The system analyzes the user's purchase history, preferences and behavior to provide accurate product recommendations that match their interests. In addition, the system uses machine learning algorithms to continuously improve the accuracy of recommendations and adapt to changes in the user's shopping patterns.
Development of a social media sentiment analysis platform:
We are building a big data analytics platform that uses natural language processing and machine learning techniques to analyze and understand the sentiments expressed on social networks. The platform extracts real-time data from various social media sources and uses text processing algorithms to identify trends, opinions and emotions in posts. This allows companies to monitor brand perception, identify customer service issues and make decisions based on sentiment analysis.
Development of a collaborative project management web application:
We are developing a project management web application that allows teams to collaborate in real time, assign tasks, set milestones and monitor project progress. The application offers features such as Kanban boards, time tracking, feedback and real-time notifications. In addition, we use visualization techniques.
