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Projects

Thank you for stopping by my Project website. I have a curious mind, always inquiring about the world that surrounds me. I am eager to learn more, and spread that knowledge to my peers. Take a look around and explore my Project. Feel free to get in touch if you have any questions, or would like to learn more.

Image Creation using GANS

Deep learning

Generative Adversarial Network is a class of machine learning framework. GANs has many use cases. We use GAN for creating completely new pictures.GANs have two main components generator and discriminator. 

Dataset: CIFAR-10

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Denoise the Image using Autoencoder

Deep learning

Autoencoder is the addition of two models encoder and decoder. The encoder will encode the image and the decoder will decode the image. By using this principle we create a model which will remove noise from images.

Dataset: Handwritten Digits MNIST

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Fake News Detection

Machine Learning & NLP

Fake news spreading more faster than Original news. So it is necessary to detect fake news. For that, we are creating a machine learning model with some natural language processing task that is used to predict whether a news is fake or not..

Dataset : True News , Fake News

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Face Mask Entrance System

Computer Vision & Deep Learning

After COVID-19 Mask is a must for all. So that by Creating this modal we can continue monitoring people using cameras and someone not wearing a mask then a mail has been sent to the main authority. Basically, this project is used to detect whether a person wears a mask or not.

Dataset: With Mask and Without Mask Images of People

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Blog Summarizer

NLP, Web Scraping & Hugging Face Transformers

There are a lot of blogs out there and if the blog is very huge then we will feel bored. So that I am creating a modal which is used a predefined pipeline from Hugging Face Transformers and some web scraping methods to fetch data. This modal returns a summary from the blog as per your mentioned maximum no. of words.

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Performing Analysis on Meteorological Data

Data Analysis

In this project, we do some analysis on the past 10 years of weather data in which we are trying to prove the hypothesis that temperature and humidity were uncertain because of global warming.

Dataset : Weather

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AI Blog Writter

Hugging Face Transformers & GPT-2

Hugging Face Transformers is a set of Pretrained NLP modals. GPT-2 is a Pretrained Model that is used to generate text. We use both models and generate a blog post. Model Will generate a blog post according to max_length of words.

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In this project, the model will try to predict handwritten digits using Scikit learn machine learning models. After that, I do a comparison of different accuracies of models.This projects is include in my coding internship

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Heart Disease Prediction

Machine learning , Data Analysis

In this project, we are trying to predict whether a person has heart disease or not based on some parameters. I used only the Logistic Regression Algorithm. At last, I get 87 % accuracy with model 3. Also doing some analysis for finding the best features.

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Plant Disease Detection

Deep learning , Computer Vision

In this project we trying to predict plant diseasebased on its leaf images. In the dataset, wehave total of 39 different diseases that we aretrying to classify using CNN. We implement this model PyTorch. After that, we are also thinkingto deploy our model in application.

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AI Body Language Decoder

Computer Vision, Machine Learning

In this, we have to train a model for decoding body language like sad, happy and victorious. Detection works on face landmarks and bodypose landmarks. You can add other body languages. Mediapipe is used for both pose and facial landmarks detection.

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