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bank-loan-prediction-using-ai

A multi-layer neural network model for predicting approval for personal bank loans.

brain-tumor-detection-from-mri

A deep learning based approach for Brain Tumor MRI segmentation.

building-website-nodejs-express

This is the repository for my course "Building a website with Node.js and Express"

chess-landing

date-and-time

decision-tree-for-titanic-survivals

doneela

e-cell-website-

ecell_web

ejs

Embedded JavaScript templates -- http://ejs.co

face-recognition-attendance-system

A Face Recognition Attendance System based on facial recognition built using Dlib library, OpenCV and Flask.

flipkart-clone-web

A fully functional MERN stack E-Commerce website to simulate common shopping platform features.

gssoc-website-new

GSSoC'23 Official Website

javascript-essential-training-2832077

JavaScript Essential Training

oikyotaan_2022

online_railway_ticket_booking_system

optimus

Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.

porfolio_doneela

quizbee-

rotating_globe

This is the Rotating Sphere project

sectiond.github.io

shield

Shield is a role-based cloud-native user management system, identity & access proxy, and authorization server for your applications and API endpoints.

slider-sign-in-out-form

students-marks

task_oikotan

underwater-pipeline-detection

Ongoing Project - Developed an object detection system using You Only Look Once(YOLOV8) algorithm, enabling real-time identification and localisation of underwater pipeline in images and videos, enabling leakage detection by AUV.

vernecular-language-detection-by-machine-learning

Used Deep Convolutional Neural Networks to detect Hindi handwritten text with an accuracy of 98.5% and immunes to hazy background. This Real-time Image pre-processing using OpenCV is developed by comparing the various classifiers and algorithms like KNN, SVM etc.

weather-buddy

webpack

A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.