Research & Projects

A collection of my research projects, covering computer vision, NLP, generative AI, and healthcare applications.

Explainable Optical Braille Recognition

Multi-stage pipeline for Braille recognition using YOLOv11, PCA deskewing, and attention-based CNN with transformer correction. Achieved 9.7% CER and eliminated silent decoding failures.

Python PyTorch YOLOv11 OpenCV Transformers
Manuscript Under Review GitHub

Structure-Preserving Handwriting Synthesis

Hybrid evolutionary-adversarial model combining YOLO detection, PSO/CMA-ES refinement, and dual-GAN architecture for realistic handwriting generation.

Python TensorFlow GANs Evolutionary Algorithms YOLO
Manuscript Under Review GitHub

Multilingual Mental Health Translation

Transformer-driven pipeline for emotion-aware translation across South Indian languages using XLM-RoBERTa and metric-guided MarianMT decoding.

Python Transformers XLM-RoBERTa NLP BLEU
Manuscript Under Review GitHub

IIoT Network Traffic Classification

Advanced Intrusion Detection System for Industrial IoT using LSTM, TCN-Attention, and CNN-LSTM models with flow-based splitting. Achieved 99.99% accuracy.

Python TensorFlow LSTM TCN Network Security
Completed GitHub

Heart Attack Prediction System

Comprehensive ML pipeline using neural networks and ensemble methods (XGBoost, LightGBM, CatBoost) for cardiovascular risk assessment across multiple datasets.

Python PyTorch XGBoost TabNet Scikit-learn
Completed GitHub

Hazard-Free Outdoor Navigation

DST-SERB funded project for visually challenged users using YOLOv8 hazard detection and fuzzy routing algorithms.

Python YOLOv8 Computer Vision Fuzzy Logic OpenCV
Research Internship GitHub