This repository contains all the tasks, projects, and practice work I completed during my 2 Month Data Science Internship at @ArchTechnologies. Throughout the internship, I worked on real world datasets, applied different analytical and machine learning techniques, and strengthened my practical understanding of Data Science and Data Analytics.

This project leverages machine learning to enhance customer experience in the used car market by predicting car prices based on features like make, model, and year. The model is integrated into an interactive Streamlit web application for user-friendly access.

This project leverages Data Analytics, Machine Learning, and NLP to detect emotional manipulation in social media advertisements. It analyzes ad texts to identify emotional triggers like fear, guilt, and urgency influencing user behavior. Built with Python, Scikit-learn, NLTK, and Pandas, it classifies ads based on manipulation intensity.