Car Guide
Developed Car Guide, an AI-powered search engine that simplifies the car-buying process by allowing users to search, compare, and filter through 5,000+ car models. Utilizing tokenization, indexing, and the Vector Space Model with Cosine Similarity, the platform ensures 89% search accuracy while delivering results in under 0.5 seconds.
The Car Guide Search Engine is designed to make car selection effortless by providing users with a centralized platform to browse, compare, and discover the perfect vehicle. With thousands of car models indexed, the system allows users to filter by price, brand, and dealership, ensuring a tailored car-buying experience. Unlike traditional car listing websites, Car Guide leverages AI-driven information retrieval to provide relevant recommendations in real-time, reducing search time and improving decision-making efficiency.
To achieve fast and accurate search functionality, the system incorporates tokenization and indexing, enabling structured data storage for quick lookups. Using the Vector Space Model and Cosine Similarity, the search engine ranks results based on relevance and feature similarity, achieving 89% search accuracy. With an optimized query-processing pipeline, search results are generated in under 0.5 seconds, significantly enhancing the user experience.
This project highlights the power of AI in information retrieval, demonstrating how data science and search optimization techniques can streamline consumer decision-making. Future improvements could include deep learning-based NLP enhancements, real-time inventory updates from dealership APIs, and personalized search recommendations based on user preferences. Car Guide revolutionizes how users explore vehicles, making the car-buying journey seamless and efficient.
Power in Numbers
5000
Different Car types
89
Accuracy %