My Projects
Here's a collection of the projects I've worked on, showcasing my skills in data science, machine learning, and
full-stack development.
Each project reflects my passion for solving real-world problems and building impactful solutions through
technology.
Fake New Classification
This project is designed to classify news articles as Fake or Real using various machine learning models. The dataset is processed using TF-IDF vectorization, and multiple models including Naïve Bayes (NB), Random Forest (RF), and Logistic Regression (LR) are trained. The best model is selected based on performance metrics.
Tech Stack
Flight Price Prediction
AeroPredict is an innovative machine learning project designed to make flying more predictable, specifically targeting flights within the Indian route. Utilizing a basic ML model, AeroPredict accurately forecasts flight fares, providing travelers with valuable insights into pricing trends.
Tech Stack
Obesity Classification
This project implements an Artificial Neural Network (ANN) model to classify obesity levels based on user inputs. The model is trained on obesity classification data and predicts the obesity level, providing valuable insights for users. The project is built with Flask for web deployment, and it also includes various utilities, data preprocessing, and model training pipelines.