This repository serves as a centralized hub for various advanced academic projects, covering Artificial Intelligence, Natural Language Processing, Distributed Systems, and Swarm Robotics.
This directory contains comprehensive machine learning and deep learning projects with a strong emphasis on NLP.
- Project-1 (Machine Learning & DL):
- Covers foundational Classification (Random Forest, SVM, KNN).
- Clustering & Regression analysis.
- Deep Learning (CNNs, Transfer Learning with VGG16) for image classification.
- Project-2 (Turkish Pragmatic Stress Detection):
- An advanced token classification NLP project.
- Utilizes BERT + CRF architecture combined with Supervised Contrastive Learning (SCL).
- Includes a complete evaluation pipeline, presentation assets, and LaTeX paper drafts.
Contains simulation and networking projects focused on UAVs and distributed algorithms.
- Project 1 (Distributed Algorithms & MDS Simulation):
- Simulates Minimum Dominating Set (MDS) algorithms on dynamic networks.
- Integrates Gauss-Markov Mobility Models to simulate realistic drone movements and measure topology stability over time.
- Project 2 (SDN & UAV Slicing):
- Explores Software-Defined Networking concepts in the context of UAV (Unmanned Aerial Vehicle) network slicing.
An automated literature curation and presentation pipeline.
- Aims to automatically download, summarize, and curate academic papers on Multi-Agent Systems and Swarm Drones.
- Uses LLMs and the
Marpframework to automatically compile research findings into presentation-ready markdown slides and PDF reports.
Note: Large model weights (e.g., PyTorch .pt files) and extensive datasets are tracked via .gitignore and are excluded from this repository due to size limits. Please refer to individual project READMEs for instructions on downloading required models/data.