bilstm-model

Unsupervised anomaly detection in vibration signal using PyCaret vs BiLSTM

NLP Named Entity Recognition dalam bidang Biomedis, mendeteksi teks dan membuat klasifikasi apakah teks tersebut mempunyai entitas plant atau disease, memberi label pada teks, menguji hubungan entitas plant dan disease, menilai kecocokan antara kedua entitas, membandingkan hasil uji dengan menggunakan models BERT-BILSTM-CRF

It's the Repo containing a model for summarization and classification of the Indian legal cases.

Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) 2020

Code and specs for CS-Embed's entry for SemEval-2020 Task-9. We present code-switched embeddings, code for code-switched bilstm sentiment classifier, and code for CS tweet collection.

Legal Case Intelligence System

Pose-based abnormal activity recognition for ISAS 2025 Challenge using Bi-LSTM and Transformer ensemble with handcrafted features.

Implemented machine learning across HR, Sales, Marketing, and PR to improve decision-making. Used models like XGBoost, Prophet, LSTM, clustering, and NLP to enhance retention, forecasting, segmentation, and sentiment analysis for business growth.

This project aims to develop a system for automatically extracting emotion-cause pairs from conversational data, enhancing dialogue systems and mental health support through deeper understanding of emotional triggers.

Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available. Data Set Characteristics: Multivariate, Time-Series. This database have 2,075,259 rows and 7 columns.

This is the minor-project that is to be submitted to my University, during the 7th semester. We build a BiLSTM model and train the model on textual data - Twitter data.

Predict genre of movie from title and description using a Bidirectional LSTM.

Phishing URL detection using BiLSTM with Attention Mechanism

Deep Learning project October 2023

An comprehensive analysis of customer review using CNN and BiLSTM

Deep learning models and fine-tuned transformers for detecting mental illness from user content on Reddit. 🧠

AI-powered Vocal Coach

Custom Named Entity Recognition (NER) with BiLSTM CRF and Spacy

Developed CNN-based deep-fake detection system using Transfer Learning with EfficientNet and BiLSTM architecture. Implemented full-stack application with Python/Flask backend and responsive user interface for real-time image and video analysis

Serenity-Mental-Health-Chatbot: Serenity is a mental health chatbot built with a BiLSTM intent model, RAG system, and crisis detection. It offers empathetic conversations, safety handling, and a modern UI for real-time emotional support, analytics, and personalized user interaction. github.com