SkimLit – Biomedical Abstract Sentence Classifier
SkimLit is an advanced NLP-based project designed to classify sentences in biomedical abstracts into rhetorical categories like Objective, Methods, Results, Background, and Conclusion. It helps researchers quickly skim through large volumes of biomedical literature by automatically organizing abstract content.
Jul 10, 2025
Fake News Detection using ML & CNN
A hybrid fake news detection system combining traditional machine learning with deep learning techniques. The project focuses on identifying misinformation by using both TF-IDF + Naive Bayes pipelines and Convolutional Neural Networks for text classification.
Mar 1, 2025
EEG Signal Processing with DGCNN & ONNX
A deep learning-based EEG signal processing project that classifies emotional states using the DREAMER dataset. The model is built using the DGCNN architecture from TorchEEG and optimized for fast inference via ONNX.
Feb 1, 2025