Master's thesis on programming
Research projects: Machine Learning, Deep Learning, cloud architectures, distributed systems, artificial intelligence. Full support from setting the task to protection.
Difficulty levels
Payment only after demonstration of finished work
Areas of master's theses
Machine Learning and AI
Classification, regression, clustering, recommendation systems. TensorFlow, PyTorch, Scikit-learn. Comparison of algorithms with metrics.
from UAH 8,000Computer Vision
Object recognition, image segmentation, generation. OpenCV, YOLO, Mask R-CNN, GAN. Training on own datasets.
from UAH 10,000NLP and text processing
Tonality analysis, chat bots, summarization, text classification. BERT, GPT, Transformers, spaCy.
from UAH 10,000Cloud architectures
AWS, Azure, GCP. Microservices, Kubernetes, Docker, serverless. Autoscaling and fault tolerance.
from UAH 12,000Distributed systems
Kafka, RabbitMQ, gRPC. Distributed databases, consensus protocols, CAP theorem. Highly loaded systems.
from UAH 12,000Big Data and analytics
Apache Spark, Hadoop, Flink. Processing of large data sets, construction of Data Pipeline, visualization of results.
from UAH 10,000How we work on a master's degree
Requirements analysis
We study the topic, the requirements of the scientific director, methodological recommendations of the department
Projecting
We choose architecture, algorithms, technologies. We agree on the research plan
Implementation and experiments
We write code, conduct experiments, collect metrics, write documentation
Demonstration and protection
We show videos, transfer materials, prepare you for answers to the commission's questions
What you get
- Complete source code with comments and documentation
- Explanatory note (60-100 pages)
- Presentation for defense before the commission
- UML diagrams, architectural schemes
- Results of experiments with graphs and tables
- Video demonstration of system operation
- Free edits based on the supervisor's comments
- Support for protection: explanation of the code, preparation of answers
Reviews of master's theses
"Master's in NLP - analysis of the tonality of feedback on BERT. The code works perfectly, the experiments are designed with model comparison graphs. The commission was impressed by the quality of the research. Defended by 97 points!"
"I ordered a master's degree in cloud architecture on AWS with Kubernetes. Microservices, Docker, CI/CD - everything really works and is deployed. The supervisor was delighted with the technical level."
"Master's in Computer Vision - object detection on YOLOv8. Dataset, model training, comparison with other architectures. Received 100 points! Recommended for publication."
Frequently asked questions about the master's thesis
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