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.

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.

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.

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.

📊 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.

💬 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.

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

🚀 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.