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.

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.

Group project for Hackathon

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.

to predict the survival of the fittest.

EY Hackathon Project

SugarSense : The Diabetes Prediction Application

Forecasting the crime in a city from OSN data

Developed as part of the Huawei Internship Program in collaboration with Kuwait University. It replicates a simplified version of Huawei SmartCare’s churn analysis.

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.

With the help of this chatbot, users can communicate doubts regarding vaccine registration.

Video-based surgical skill assessment using 3D convolutional neural networks

For seamlessly training, evaluating, and deploying machine learning models.

BioSim model with Conditional Variational Autoencoder