shivamaryajha Goto Github PK
Name: Shivam Arya Jha
Type: User
Company: Delhi Techological University
Bio: On a journey of unquenchable curiosity and burning passion.
Location: Delhi
Shivam Arya Jha's Projects
a-hackers-ai-voice-assistant
A hackers AI voice assistant, built using Python and PyTorch.
breast-cancer-detection-project
A logistic regression classifier used to determine if a detected breast tumor is malignant or not.
conversational-web-search-engine
A Question Answering NLP engine similar to Microsoft's AskMSR, that interacts with user, takes questions as input and returns accurate answers.
covid-19-detection-via-covnets
This is a student project involving detection of Covid'19 infection among patients on the basis of their X-Ray reports. Essentially a classification problem using CNN
custom-selfie-filter-via-face-detection
A Computer Vision application to apply custom made filters over face by detecting facial keypoints which involves solving a regression problem using a CNN Model with Keras along with OpenCV Library.
document-scanner-with-ocr-for-handwritten-text
A Camscanner-like document scanner which performs perspective transform as well as uses an embedded OCR to recognize the text in the document
frontend-bootstrap
The front-end module of an online learning platform, namely EaseEconomics. Designed for helping out UPSC students with economics.
invoiceform-text-extraction-via-pytesseract
A freelance Computer Vision project that performs image preprocessing operations and four-point-transform on a Invoice form in order to extract the valuable texts from it using PyTesseract OCR. Moreover, the extracted texts are exported into CSV Format based on the form sub-field respective to each text-block.
keras
Deep Learning for humans
myfirstrepo
An initiative to get acquainted with this new world. :)
opencv
Open Source Computer Vision Library
railways-database-schema
A relational Database Management System demonstration project, with instance of Railway Management.
raining-cats-dogs
A binary classifier that uses CovNets and Image Data Augmentation to classify images of cats and dogs.
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