Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]

A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.

Bangalore house prediction model + website fundamentals(with flask)

Tutorial to deploy a ML Model to Heroku with Flask web application.

[🥉 3rd place] AI-powered web application able to track changes in the urban landscape

ChurnShield – AI-powered Flask web app predicting customer churn and generating personalized retention strategies with a Random Forest ML pipeline and admin dashboard.

GreenFund is an AI-powered web application that empowers farmers to make data-driven, climate-smart agricultural decisions. The platform focuses on analysis of soil health then additionally tracks farm activities, measures carbon emissions, and provides AI-driven crop recommendations to promote sustainable and climate-resilient farming.

This is a Machine Learning + Flask Web App that predicts whether a customer is likely to churn and suggests a discount policy based on churn probability.

Interactive Machine Learning web app that predicts student marks from study hours using Linear Regression, with real-time training, evaluation metrics, and visualization.

ML Based Gender Predictor developed in Flask and Material Design bootstrap

ML scientific job orchestration platform: FastAPI API, Celery Worker, PostgreSQL DB, RabbitMQ broker, and React frontend for spectral analysis, Sklearn data preprocessing, and Tensorflow active‐learning workflows 🪐

A simple machine learning web-based app using flask python

🩺 Diabetes Prediction App using Deep Learning | Streamlit Web App 🚀 An interactive Machine Learning application that predicts diabetes based on medical inputs using an Artificial Neural Network (Keras & TensorFlow). Features real-time prediction, user-friendly UI, and healthcare-focused insights.

💬 Sentiment Analysis using NLP | ML Web App 🚀 An interactive Machine Learning application that analyzes user text and classifies sentiment as Positive, Negative, or Neutral using TF-IDF vectorization and a Random Forest model. Built with Python, NLP techniques, and Streamlit.

📊 Regression Model Selection Web App | Compare Multiple ML Models 🚀 An interactive Machine Learning web app that trains and compares multiple regression models (Linear, Polynomial, Random Forest, Decision Tree, SVR) and automatically selects the best model based on R² score. Built with Python, Scikit-learn & Streamlit.

🚀 Categorical Data Encoder Tool | Machine Learning Preprocessing Web App 🎯 An interactive Streamlit application for performing Label Encoding and One-Hot Encoding on categorical data. Supports CSV upload, manual input, and visualization to help understand essential data preprocessing techniques in Machine Learning.

Machine Learning web application that predicts the likelihood of heart disease using clinical parameters. Built using Python, Flask, and a trained ML model with a simple web interface for real-time prediction.

Web application for EmoVision Project. Extension of github.com/adistrim/EmoVision