Anupama C V's repositories
HealthPredictorBot-Maching_Learning_Chatbot_Application
This project implements a chatbot for disease prediction and treatment recommendation using machine learning algorithms and NLP, built with Python, Flask, and ChatterBot. It uses Naive Bayes and Decision Tree algorithms to analyze user symptoms, achieving an 85% accuracy rate.
Language_Translation_GenAI_App
Language Translator is an AI-powered tool for text and voice translation using Hugging Face's MarianMT, Llama 3.2 via the Ollama API, and LibreTranslate. It supports multi-language translation with text-to-speech and speech-to-text functionality.
Burger_Machine_Kiosk-Web_Development
An implementation of an advanced burger ordering system built with Python and Flask, featuring dynamic menu generation, real-time cost calculation, and robust exception handling for a seamless user experience.
Business_Management-Web_Development
A Business Management System built with Python and Flask, featuring CRUD operations, CSV data import, search and filter functionality, and Heroku deployment with CI/CD pipelines.
Diabetes_Prediction_using_advanced_Machine_Learning_Techniques
This project predicts diabetes using the PIMA Diabetes dataset, leveraging health metrics of Pima Indian women. Machine learning models like Logistic Regression, Decision Trees, and Random Forest are implemented to determine the likelihood of diabetes, evaluated using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.
House_Price_Prediction-Machine_Learning_Application
A real-time, end-to-end machine learning application built with Flask and integrated with MLflow for tracking and model management. The application predicts house prices based on user input, leveraging trained regression models and providing a web interface for seamless interaction.
Shop_Online-Web_Development
An advanced "Shop Online" web application built with Flask, SQLAlchemy, and Bootstrap, offering user authentication, profile management, item browsing, and order processing functionalities.
Truck_Delays_Classification-End-to-End-Machine_Learning_Application
Modern machine learning project development - This end-to-end project implementation provides the real-time delay updates to logistic companies. It uses MLflow for model tracking and management, Hopsworks Feature Store for storing and managing the dataset, and Streamlit for building an interactive web application to predict truck delays.
Anu0408
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IS601
Web Systems Development
TestRepository
Repository for demonstrating pull requests