Machine Learning as a Service for HEP
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Updated
May 10, 2022 - Python
Machine Learning as a Service for HEP
Seatbelt detection using YOLOv5 ML model
A Machine Learning model created using prebuild model. We need to feed the images to the model and it will predict if the same person is there else it will mark as unknown.
Animal Classification: A CNN-based image recognition model.
SugarSense : The Diabetes Prediction Application
Video-based surgical skill assessment using 3D convolutional neural networks
The Smart Crop Disease Detection System is a Django web app that uses machine learning to identify crop diseases from leaf images. It helps farmers detect diseases quickly and take action to protect their crops. The system features AWS S3 image storage, TensorFlow Lite integration, and a responsive front-end for easy use.
Aplikasi ini adalah sebuah web sederhana untuk prediksi harga mobil menggunakan model Machine Learning yang telah dilatih sebelumnya.
Building a simple, not-so cool ML Model - Polynomial Fitting
summer-search is a Python package that provides a simple interface for searching the web, extracting relevant content, and generating a summary based on the extracted information
Developed an ML model for an e-commerce website to recommend products.
Exoplanet habitability estimation model for astrobiological discovery.
Classification and regression models for predicting the level of risk associated with extending credit to a borrower and the basic EPS amount respectively.
This is a vegetable sales prediction ML Model. This system is part of Online Crop Management And Forecasting System for Farmers and Agro Business Industry.
Python ML project predicting student mood based on sleep, study, and activity data with a Streamlit interface.
This project provides a robust pipeline for detecting deepfake content in images, videos, and audio files. By utilizing multiple machine learning models and advanced feature extraction techniques, the system can identify tampered media with high accuracy.
A Software for Cabs which comprises most innovative ideas to provide a best-personalized user experience.
In this project I have created an end to end diabetes prediction application using streamlit.
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