SINGHxTUSHAR

TUSHAR SINGH's repositories

BlockchainExperiments-30DC

This repository contains the data related to the Blockchain, Web3 and Solidity.

Language:SolidityMIT100

Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.

Language:Jupyter NotebookMIT300

Data-Diggers

In this repository we are solving or performing the EDA on various datasets and analyzing and understanding the problem statements in a deeper and more precious ways.

Language:Jupyter NotebookMIT100

AutoMark

This is a Smart Attendance System designed using a pre-trained model called Haar-Cascade Classifier, OpenCV and other various Dependencies to mark the attendance in a smarter way and saves the lecture time.

Language:PythonMIT300

FloraVision

In this Project we classify different categories of Flowers using a Pre-Trained model and also using the functionality of Streamlit Application to build an API or frontend for the Project along with the various libraries of python for proper functioning of Model.

Language:PythonMIT300

DeepEye

Pedestrian Target Tracking Based On DeepSORT With YOLOv5

Language:CMIT200

Cascading-Vision

This is a OpenCV Project which detect the Car number plate using Haar Cascade Classifier and OCR and save that plate and then perform operation using the easyocr and other various dependencies.

Language:Jupyter NotebookMIT200

CineMatch

This is a Movie Recommendation Project which recommend the related movie based on your watch history, it uses the Cosine-Similarity concept along with the NLP techniques to recommend the next related movie.

Language:Jupyter NotebookMIT200

TeleGenie

This is a chatbot created using the OpenAI API keys and Aiogram backend services to communicate with the gpt-3.5-turbo to solve query of user. The BotFather bot of telegram is used to provide the architecture and platform for the Chatbot name TeleGenie 🤗

Language:PythonMIT200

ANUVADAK

This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and embedding for better result and accuracy. Overall, this model converts the English to French language using various Techniques of NLP and DL.

Language:Jupyter NotebookMIT200

SpamSlayer

This Project Predicts whether the Email/SMS is spam or ham by using the extensive knowledge of NLP and various ML Algorithms. Deployed on Streamlit & Herokuapp

Language:Jupyter NotebookMIT000

Credit-Card-Fraud-Detection

Credit-Card-Fraud-Detection project is a binary classification project which predicts the Fraud by using the different classification algorithms

Language:Jupyter NotebookMIT100

BOW-TFIDF-spamBuster

This project is a SMS spam classifier which detect whether the SMS is spam or ham using the multinomial Naive Bayes algorithm along the side of BOW/TF-IDF in NLP

Language:PythonMIT000

Phishing_Classifier

This is a Phishing Classifier project in which model identify the phishing data using various machine learning techniques and help to prevent from malicious virus and cyber attack.

Language:Jupyter NotebookMIT100