Machine Learning as a Service for HEP
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Updated
May 10, 2022 - Python
Machine Learning as a Service for HEP
Key word/wake word detection with espressif esp32s3
Seatbelt detection using YOLOv5 ML model
This is an end-to-end ML project, which aims at developing a classification model for the problem of predicting credit card frauds using a given labeled dataset. The classifier used for this project is RandomForestClassifier. Deployed in Heroku.
EY Hackathon Project
Comment Toxic Analyzer build on machine Learning algorithm (Random Forest) capable to analyze toxicity present in comment or any text with the accuracy of around 83%
SugarSense : The Diabetes Prediction Application
to predict the survival of the fittest.
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.
Video-based surgical skill assessment using 3D convolutional neural networks
Group project for Hackathon
BioSim model with Conditional Variational Autoencoder
Fine-tuned OpenAI Whisper model on the Persian Common Voice dataset for enhanced speech-to-text accuracy in Persian.
With the help of this chatbot, users can communicate doubts regarding vaccine registration.
Forecasting the crime in a city from OSN data
This repository contains a LSTM model, Google Stock Price Predictor
A price predictor model that predicts the price of your old car, based on some required input fields.
An image classification machine learning model that recognizes hot dogs.
Animal Classification: A CNN-based image recognition model.
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