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.
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
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
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.
Scikit Learn , Data Analysis
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
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.
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.
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.