Neya123

CoinSync

Cryptocurrency website with realtime data and updates along with currency conversion

Diabetic-retinopathy-using-ALEXNET-and-LENET-CNN-models

This project uses CNNs to identify Diabetic Retinopathy in fundus images from the STARE database. Trained on a public dataset, the CNN models excel in capturing lesion characteristics, resembling human decision-making.

Healthcare-Cost-Estimation-Using-Machine-Learning-And-Deep-Learning

I have developed a machine learning model fused with deep learning algorithms to find the cost of healthcare diagnoses in a more accurate way.

Revolutionizing-Social-Media-Security-Unleashing-the-Potential-of-Federated-Learning-

Federated learning offers a solution by enabling ML model training directly on users' mobile devices, preserving privacy, optimizing resources. This paper reviews federated learning in social networks, emphasizing user data control, reduced risk, while addressing open challenges and future research directions in domains .

wheelchair-guardian

This project aims to assist disabled individuals during emergencies by providing an application that allows them to send notifications for help. The application facilitates prompt rescue efforts during their emergency situations

CookingCoach

neya123

github-portfolio

Neya123/github-portfolio

Neya123/CoinSync

Cryptocurrency website with realtime data and updates along with currency conversion

Neya123/neya123

Neya123/Revolutionizing-Social-Media-Security-Unleashing-the-Potential-of-Federated-Learning-

Federated learning offers a solution by enabling ML model training directly on users' mobile devices, preserving privacy, optimizing resources. This paper reviews federated learning in social networks, emphasizing user data control, reduced risk, while addressing open challenges and future research directions in domains .

Neya123/Diabetic-retinopathy-using-ALEXNET-and-LENET-CNN-models

This project uses CNNs to identify Diabetic Retinopathy in fundus images from the STARE database. Trained on a public dataset, the CNN models excel in capturing lesion characteristics, resembling human decision-making.

Neya123/Healthcare-Cost-Estimation-Using-Machine-Learning-And-Deep-Learning

I have developed a machine learning model fused with deep learning algorithms to find the cost of healthcare diagnoses in a more accurate way.

Neya123/wheelchair-guardian

This project aims to assist disabled individuals during emergencies by providing an application that allows them to send notifications for help. The application facilitates prompt rescue efforts during their emergency situations