adishijha's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
akkireddy95/Online-Banking-system
The project’s primary goals consist of: A robust and effective web based online banking system. Extending functionality without compromising the security. Personal banking services that gives you complete control over all your banking demands online. Simple and easy user interface to work with. Online Banking features: Registration for online banking by Admin. Adding Beneficiary account by customer. Transferring amount to the beneficiary added by customer. Staff must approve for beneficiary activation before it can be used for transferring funds. Customer gets to know his last login date and time each time he logs in. Customer can check last 10 transactions made with their account. Customer can check their account statement within a date range. Customer can request for ATM and Cheque Book. Staff will approve requests for ATM card and cheque book. Admin can add/edit/delete customer as well as staff. All three of them(customer, staff & admin) can change their password. Staff and Admin Login pages are hidden from customer for security purpose. Security: Each and every input is passed through mysql_real_escape_string() to remove special characters from the string so that user can’t submit arbitrary input. It protects from attacks like Sql Injection and Cross Site Scripting(XSS). Passwords are encrypted with SHA- 1 hashing algorithm and then stored in database. Passwords are stored as encrypted hashes with an additional random salt for added security. Note: If we talk about security,above mentioned points would provide no security at all but it will work for beginners. Being into web app pentesting,I very well know this project will not be considered secure. It needs atleast a more effective filtering mechanism, better hashing algorithm, a better salting procedure for storing passwords and some other things too. Database: The database contains customer, staff & admin tables. Each customer has its own virtual passbook linked with its account number. Staff, customer and, admin have their details and password in their respective tables with all the details. A separate table for beneficiary is included in the database. A table for cheque book and ATM requests is included. This project is divided into three hierarchical parts: The index page for the customer login. A hidden staff login page. A hidden admin login page. Usage: 1.Install XAMPP or something similar. 2.Copy all the files to c:/xampp/htdocs/banking/ 3.Create a db named as 'bnak_db' and import the bank_db.sql from phpMyAdmin. 4.change the password in _inc/dbconn.php file accordingly. 5.visit localhost/banking (customer index page) 6.visit localhost/banking/adminlogin.php (admin login) 7.visit the localhost/banking/staff_login.php (staff login)
yflv-yanxia/handwritten_text
gnbaron/signature-recognition
Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️
MiteshPuthran/Image-Caption-Generator
The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)
lazyprogrammer/machine_learning_examples
A collection of machine learning examples and tutorials.
greydanus/scribe
Realistic Handwriting with Tensorflow
arthurflor23/handwritten-text-recognition
Handwritten Text Recognition using TensorFlow
githubharald/SimpleHTR
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
handong1587/handong1587.github.io
ayushoriginal/HandWritingRecognition-CNN
This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.
ankush-me/SynthText
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
meijieru/crnn.pytorch
Convolutional recurrent network in pytorch
ntrang086/image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
sushant097/Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.
eeshaanachar/hate-speech-detection
akueisara/algo-on-graphs
Algorithms in Graph Theory written in Java, C++, and Python
nax3t/node-and-mysql
Colt Steele's Node and MyQL workspace from The Ultimate MySQL Bootcamp on Udemy.com
finos/perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
ShreyAmbesh/Traffic-Rule-Violation-Detection-System
llSourcell/YOLO_Object_Detection
This is the code for "YOLO Object Detection" by Siraj Raval on Youtube
Jitender46559/AI-Ignition-system
Shesh3799/New-Project
neehu613/insta-clone
A working social media website with multiple users.
KudaP/SpotGarbage
Smartphone App to Detect Garbage Using Deep Learning
rohitrango/automatic-watermark-detection
Project for Digital Image Processing
RSKaurav/ARSearch
ARS (Augmented Reality Search) is an idea of image search and displaying searched images in augmented reality. Suppose I am planning to visit Kerala and I want to know best visiting places in kerala then I will just make a voice command and IBM watson API will convert voice command into text and send it to Google Custom Search API then GCS API will return Image URL in the form of jason data then using Vuforia which will provide Augmounted Reality environment. We will display all the related image in Augmented Reality.
nax3t/yelp-camp-refactored
Refactor of YelpCamp project with Express JS
pyxll/pyxll-examples
Example code to be used with pyxll