Chelsi Jain's Projects
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Readme.md - Chelsi Jain
Personal Portfolio - Chelsi Jain
A Robust E-Classroom Platform With Lowest Data-Transmission(8kbps) Leveraging on AI for Overcoming the Internet Access Inequity. We Regenerated Teacher's Screen on Student Console With Bare-Minimum Data-Streaming and Client-Side AI Monitoring Students Presence.
GAN(Generative Adversarial Networks) and SSD(Single Shot Detector)
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
I made an e-commerce website which is based on the concept of amazon.com. Designed frontend using HTML,CSS and Jquery and backend using django which is a framework of python for web development.
I made a Face Recognition System which collects face samples in the first part and in the second part involves recognition. This project is made using the OpenCV library of python. Local Binary Pattern Histogram (LBPH) descriptor is used for Facial image recognition while detection is performed using Haar cascade classifier.
Made a website which takes employee details and stores it in the bucket in google cloud platform. In this project I used libraries like webapp2, jinja2, base64, cloudstorage etc. Language used is Python.
Made a Pose Estimation Project which estimates the pose of the person in real time using a webcam. Opencv library of python is used. I have loaded a pre-trained tensorflow frozen model using opencv for this project.
I made a desktop assistant which is capable of opening wikipedia, youtube and google on users command. It also greets the user according to time. I have used modules like pyttsx3, datetime, speech_recognition, wikipedia, webbrowser in this project.
This is a repository containing the list of company wise questions available on leetcode premium
1.) Made Notepad GUI using Tkinter library in python. This notepad includes options for cut, copy, paste, opening a file, saving a file, creating a new text document etc.
SQL coursework
Python-tesseract is a wrapper for Googleβs Tesseract-OCR Engine which is used to recognize text from images is used in this project. Reads an image using OpenCV from which text needs to be extracted and then a text file is created and flushed. Contour Detection technique is also used.
Experience the power of AI-driven education with VirtualSync. Engage students like never before with our innovative air canvas, enabling real-time collaboration and creativity. Our voice-to-text functionality ensures accessibility and inclusivity, while the attention tracker keeps students focused and engaged.