Nandini Bansal's Projects
Predicting the severity of DR from the fundus eye scans using classification model
Exercises Solved during Bertelsmann AI Scholarship
Image Classification with CIFAR10 Dataset using Convolutional Neural Network
Flask Web API using which you can extract as many colors as you want from an existing image.
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
Using the Kaggle dataset of credit card fraud detection, I have applied the techniques of both undersampling (with Autoencoders) and oversampling (SMOTE) to predict the credit card default.
Custom Object Detection API using Tensorflow
Classification of Indian Dance Forms using VGG16 Model
Carefully curated resource links for data science in one place
A fully function polling app developed using Django. It has the functionalities of user registration, login, opening and closing a poll along with viewing the results.
This is a small project which makes use of Clustering Algorithm, K-Means to create color clusters in input image. The color clusters are visualized using scatter plot and pie-chart.
My deep learning assignments and test notebooks from Edureka PGP in AI & ML
Using the artistic style transfer technique, we can design beautiful fabrics.
E-Commerce Web App using Flask
Artistic Neural Style Transfer using Tensorflow and PyTorch
API for GPT2 Quote Generator Model Inference using FastAPI Framework and Docker
Fine-tuned the GPT2 model to generate quotes
Handwritten Text Recognition using IAM Dataset in Tensorflow
Health Check ā is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Fashion MNIST image classification with Artificial Neural Networks in Tensorflow
This repository is focused on having various feature implementation of OpenCV in Python. The aim is to have a minimal implementation of all OpenCV features together, under one roof.
Instance and Semantic Segmentation of Images
This is a repository containing the list of company wise questions available on leetcode premium
Using custom YoloV3 and PyTesseract, license plate has been detected and text has been extracted
Using Pnuemonia Dataset, segmentation of Lungs from the scans
Used to detect whether the person is wearing a mask or not
Bringing all Data Structures and Algorithms under one Roof ā”