hybridmodel

The project simulates a real-world business scenario where satellite intelligence is used for fertilizer demand forecasting, land usage analysis, and agricultural expansion planning.

Identify fake news and real news using algorithms like bert,Roberta,Xlnet,Explainable AI with Shap and Nlp techniques on tested data.

A hybrid machine learning model as a combination of natural language processing and time series forecasting for stock market prediction using two different types of datasets: numerical and textual data.

A research project comparing Classical ML models, Hybrid LLM-embedding methods, and fine-tuned Transformers for emotion classification. The study evaluates performance on two datasets, song lyrics and GoEmotions, to analyze how model choice and dataset quality impact accuracy and generalization.

This project builds a deep-learning-based heartbeat sound classification system using MFCC features and multiple models including CNN, BiLSTM, and a Hybrid CNN–BiLSTM architecture. The system detects and classifies heart sounds into normal, murmur, and artifact categories, supporting early cardiac abnormality detection.

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

Publication Title - Novel Cyber Attack Detection Using Hybrid Deep Learning Model. Published on - International Journal of Science and Innovative Engineering & Technology (IJSIET) Vol.1, Sep 2022

Supervise Machine Learning Model for Electoral Integrity

A custom Information Retrieval (IR) system that searches and ranks documents from multiple datasets using TF-IDF, Embeddings, and Hybrid representations with natural language queries.

This project implements a hybrid deep learning model capable of recognizing emotions in human speech by analyzing acoustic characteristics of audio signals. Manual classification of emotions in voice recordings is time-consuming, inconsistent, and lacks scalability. This system automates this process by detecting emotions .

BullBearAI: Stock market prediction built for clarity. Uses a hybrid LSTM-CNN model to deliver actionable insights from complex financial data.

Interactive simulation platform for thyroid nodule classification using ML, DL, and hybrid models. Built for education, visualization, and model evaluation on real ultrasound datasets.