cardekho

Python Project - Data Analysis of Used Cars from CarDekho

Predicts resale price of pre-owned vehicles using Random Forest Regression trained on 15,000+ CarDekho listings , based on features like engine, mileage, max power, and fuel type. Achieves 94% R² score

This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.

AI-Powered Lead Generation & Sales Automation Platform A full-stack MERN application for intelligent lead management, AI-driven scoring, automated communication, and sales pipeline optimization. Features include real-time lead routing, AI-generated responses, drip campaigns, analytics dashboard, and comprehensive admin controls.

Based on the dataset from the car dekho, the price of the car is predicted based on some real world features.

Interactive Power BI dashboard analyzing the used car market with DAX, Power Query, KPIs, and business insights.

To organize and analyze automotive data to identify trends in pricing, features, and vehicle performance.

This project aims to build a machine learning model that predicts the price of a used car in Indian market using Cardekho dataset.

Get exact used car listings, retail prices in INR, odometer kilometers, and certified dealer details from CarDekho.com. Extract 30+ flat columns in ~100ms per listing. 100 free results per run.

This repository showcases a collection of three interactive dashboards that demonstrate business intelligence and data analysis capabilities. The dashboards are designed to provide insights and visualizations of various business metrics, enabling data-driven decision making.

Predict used car resale prices with a Random Forest model for faster, data-based pricing decisions