Key word/wake word detection with espressif esp32s3
-
Updated
Apr 11, 2025 - C
Key word/wake word detection with espressif esp32s3
Machine Learning as a Service for HEP
Seatbelt detection using YOLOv5 ML model
Fine-tuning OpenAI's Whisper model on Persian speech datasets for enhanced automatic speech recognition (ASR) performance.
Animal Classification: A CNN-based image recognition 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.
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%
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
to predict the survival of the fittest.
SugarSense : The Diabetes Prediction Application
Forecasting the crime in a city from OSN data
With the help of this chatbot, users can communicate doubts regarding vaccine registration.
Group project for Hackathon
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.
An image classification machine learning model that recognizes hot dogs.
This project focuses on detecting fraudulent credit card transactions using the K-Nearest Neighbors (KNN) algorithm. The dataset, sourced from Kaggle, contains anonymized features extracted through PCA to maintain confidentiality. Only numerical features like V1 to V28, Time, and Amount were used for analysis and model training.
A price predictor model that predicts the price of your old car, based on some required input fields.
Add a description, image, and links to the ml-model topic page so that developers can more easily learn about it.
To associate your repository with the ml-model topic, visit your repo's landing page and select "manage topics."