Detection of Skin Disease using CNN. Detects five types of disease.

No description provided.

This project demonstrates the working of tensorflow-extended for creating scalable ML pipelines as well to automate CI/CD pipelines.

Solving Sukodu puzzle in realtime using Deep Learning and Computer Vision. Display the unsolved Sudoku in front of the camera and get the instant solution projecting right on the image.

Facial Expression Recognition . Work on both Realtime as well as on a video .

The search is over. We present to you ‘Just Try It’’ where you can select any apparel,any accessory and put it on yourself to see how it looks! Decide after trying so you get only what you really want.

About Diabetic Retinopathy Detection: Utilizing Multiprocessing for Processing Large Datasets and Transfer Learning to Fine-Tune Deep Learning Models | PyTorch

Predicting & Classifying Brain tumor using CNN model

PGDBA - ML-miniproject - Telephone-Data-Churn

The project deals with the identification of high accuracy model among the given models to detect the cyberbullying in text by training them with the given dataset which is preprocessed and vectorized with tf-idf

feasibility and practicality of using CNNs on a Raspberry Pi for on-site plant disease detection, providing farmers with an accessible and efficient tool to manage crop health effectively.

ML Project On Bank Churn Analysis Using ANN and Hyper-parameter tuning.

This repository contains a machine learning project focused on predicting gold prices (GLD) using historical stock market data, including indicators such as SPX, USO, SLV, and EUR/USD. The project implements a Random Forest Regressor for accurate price forecasting, complete with data visualization, correlation analysis, and model evaluation metrics

Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention

Obesity Level Detector A machine learning model that estimates obesity levels based on user inputs, including dietary habits and physical activity. Hosted on the web, the model provides personalized health advice and recommendations.

Source code for Is this fake news! 🔥

Nutrify

This contains the code of Bharat Book Collection(a dummy book store for project) Back-end.

🚢 Predict Titanic passenger survival using Machine Learning! This project trains a Logistic Regression model on the Titanic dataset and integrates it with a Streamlit web app for interactive predictions. Includes full code, datasets, and an easy-to-run app.

An ML based crush likelihood predictor built with Streamlit.

The objective is to combine historical usage pattern along with the open data sources like weather data to forecast the number of vehicle booking demand in a city.

Air Qualty Prediction / PM 2.5 Forcasting ML project.

Machine learning project based on Linear regression

A machine learning model which will predict the person is normal or heart-diseased.

An intelligent ML-powered House Price Predictor built with Python, Scikit-Learn, and Streamlit. 🚀 Includes full EDA, multiple regression models, and a clean interactive dashboard for real-time price predictions.

Youtubers statistics using ML

Movie Recommendation

Content-based Movie Recommendation System using TF-IDF and FastAPI deployed on Render.

Content based movie recommender system

This model predicts probable movie genres given the plot of a movie.