We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

  • A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Student's projects

Computer Vision

Real-time Gesture Recognition System

Development of algorithms for sign language recognition using neural networks and real-time video processing.

Python OpenCV TensorFlow MediaPipe
Data Analysis

Real Estate Price Prediction

Market data analysis and building a machine learning model to predict housing prices.

Pandas Scikit-learn Matplotlib Feature Engineering
Generative Models

Artistic Image Generation

Creating a neural network model for generating unique artworks in the style of famous artists.

PyTorch GAN Style Transfer Diffusion Models
3D Vision

3D Object Reconstruction from Photos

Developing a system for creating 3D models of objects based on a set of 2D images.

Photogrammetry Open3D Point Clouds Mesh Processing
Mobile CV

AR Object Measurement App

Mobile application with augmented reality for accurate measurement of objects using smartphone camera.

ARKit/ARCore Swift/Kotlin On-device ML Camera Calibration
Medical Imaging

Medical Image Analysis

System for automatic anomaly detection in X-ray images using deep learning.

DICOM UNet Medical Data Explainable AI

Student Experience

Maria and Alexander - program graduates. In this webinar they will tell you about their computer vision project implemented during their studies.

Acquired Competencies

While working on course projects, students develop key skills demanded by the industry:

Practical Programming Skills

Working with real code, debugging, optimization and project documentation

Data Work

Data collection, cleaning, analysis and visualization, feature engineering

Machine Learning

Building, training and evaluating models, hyperparameter tuning

Computer Vision

Image processing, feature extraction, working with neural network architectures

Teamwork

Collaboration using Git, Agile methodologies, task distribution

Results Presentation

Preparing reports, visualizing results, project defense