This is a python application which converts american sign language into text and speech which helps Dumb/Deaf people to start conversation with normal people who dont understand this language

Fake News Detection in Python using Machine Learning

Deep-Machine Learning Tutors

Create narrated video story from book chapter using NLP, OpenAI and StableDiffusion.

Monero POW mining in Python Google Colab

A Python implementation of the Bitcoin mining algorithm Google Colab

A YOLOv4 model that can detect 5 classes on the road and a comparison with YOLOv3.

Mobility on a wide scale is moving towards complete automation. Though the technology for automating the vehicles already exists, these technologies must be optimised to fit the current environment. This project would be a scaled-down model of the Autonomous Car. By running these scaled-down models in the live streaming line detection using OpenCV.

COVID 19 state wise + India + International prediction with data visualization and live curve prediction

Experiments mining image collections using OpenCV Google Colab

Peer-to-peer Bitcoin mining pool Google Colab

Detect Traffic lights using YoloV4 and use CNN for more accurately classifying the state of traffic lights

To build a python project of gender and age detector that can approximately guess the gender and age of the person in the image using OpenCV on the Adience dataset.

Robot-Deployment Team Final Project: Trained Neural Network implementation for custom image recognition

Re-Implementation of already existing repository

The objective of this project is to automate the tomato sorting process, reducing human labor and errors while increasing the speed and accuracy of sorting. The model is designed to identify ripe and unripe tomatoes, contributing to the improvement of agricultural processes and reducing the number of tomatoes incorrectly sorted due to human error.

Defense thesis for the degree in electrical engineering

Road Sign Detection using CNN

Hi friends this is the app i created to analyse Phonepe pulse data which i get through Phonepe pulse github repo.Then I deployed this app in streamlit.Enjoy the code

This code demonstrates how to automatically generate concise summaries from a given text using advanced natural language processing techniques. By utilizing the powerful "transformers" library, it employs a pre-trained model to break down input text and distill its essential points into succinct summaries.