scdesiraju Goto Github PK

covid-19

The project focuses on predicting the likelihood of severe COVID-19 disease based on patient symptoms, achieving an impressive accuracy rate of above 80%.

emotion-recognition-system-using-deep-learning

This project develops an Emotion Recognition System using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) for real-time facial emotion classification.

nlp-for-enhanced-healthcare-data-management

Implemented and fine-tuned classification models using hyperparameter tuning, achieving high accuracy in gender classification, medical specialty prediction, and treatment type identification within medical transcription data.

perceptual-magnet-effect-in-handwritten-digit-categorization

recommendation-system

Engineered an innovative movie recommendation system by employing Content-Based Filtering and Collaborative Filtering algorithms. Integrated real-time data sources and IMDb datasets for comprehensive movie profiling.

restaurant-rating-and-review

Utilizing Yelp data, this project analyzes the relationship between restaurant features, customer reviews, and operational status to predict business popularity and closure likelihood