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crud_app

data_visualization_dashboard-mern-stack

It is a Data Visualization Dashboard that uses the MERN Stack to create visualizations. Project uses given JSON data to create a MongoDB database and create an API in node.js to retrieve the data. The visualizations are created using chart.js library. The dashboard has various filters. Project aims to generate insights from creative visualizations.

fraud-transaction-detection

INSAID Assignment to create a ML model to detect fraud transactions for a financial company.

garbage-detection

We use the YOLO algorithm to detect garbage on streets and then use an IBM database to mark the locations we found garbage and mark it on a map.

insaid_fruad_detection_model

This case requires trainees to develop a model for predicting fraudulent transactions for a financial company and use insights from the model to develop an actionable plan.

instagram-clone-backend

An instagram clone created with the MERN stack

login-sign-up-system

A simple login | sign up | sign out | forget password | Email verification bundle pages.

mess

Benchmark for Multi-domain Evaluation of Semantic Segmentation

ml

swach_bharath

trashnet

Dataset of images of trash; Torch-based CNN for garbage image classification

warp

WaRP dataset includes labeled images of an industrial conveyor.

wastee