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-### LilHomie - Housing Price Prediction Rapid Prototype
+# 🏠 LilHomie – Predicting Housing Prices (Prototype)
 
-### Author: [(EJ) Vivek Pandey](https://viveckh.com)
+**Author:** [Vivek Pandey (EJ)](https://viveckh.com)
+**Contact:** [anton.503.overload@gmail.com](mailto:anton.503.overload@gmail.com)
 
-LilHomie is a rapid prototyping project that aims to generate housing appraisals to determine values of properties in the New York Tri-state Area. 
+---
 
-This repository contains all the associated work that has been done for the area which includes:
-* Web Crawler to gather housing data
-* Notebooks associated with data engineering, EDA, and ML Modeling
-* Serverless API setup to make predictions off the serialized models
-* Web App
+## 📌 What is LilHomie?
 
-### Future Enhancements
-* Adding support to crawl and extract through remaining 3 property page formats in Trulia
-* Spiders in Web Crawler to extract data from Zillow
-* Speeding up the crawler with distributed spiders
-* Feeding the ML model with data of properties across the US and making necessary adjustments based on new results, instead of the tri-states properties it is limited to (but this requires the above three enhancements to be done first)
+**LilHomie** is an early-stage project designed to predict the value of houses in the **New York Tri-State Area** (NY, NJ, CT). It brings together tools like web scraping, data science, machine learning, and web development to create a system that can estimate housing prices automatically.
 
+This is a **rapid prototype**, meaning it’s a rough but working version built quickly to test ideas.
 
-### Questions?
-Email the author at anton.503.overload@gmail.com
\ No newline at end of file
+---
+
+## 🧰 What’s Included in This Project?
+
+This repo contains all the code and tools used in the project:
+
+* 🕷️ **Web Crawler**
+  A custom-built tool that collects housing data from the internet (specifically from Trulia).
+
+* 📊 **Notebooks**
+  Jupyter notebooks that:
+
+  * Clean and prepare the data
+  * Analyze trends
+  * Train machine learning models to predict house prices
+
+* 🧠 **Machine Learning Models**
+  Trained models that are saved and ready to use for making predictions.
+
+* 🌐 **Serverless API**
+  A lightweight backend system that serves predictions from the ML models on-demand.
+
+* 💻 **Web App**
+  A basic web interface where users can input property details and get a price estimate.
+
+---
+
+## 🚧 Future Plans
+
+Here are some improvements planned for the next versions:
+
+* 🏗️ Add support for 3 more page formats on **Trulia**
+* 🏡 Add support to scrape housing data from **Zillow**
+* ⚡ Make the web crawler **faster** using distributed crawling (parallel spiders)
+* 🌎 Expand predictions beyond the NY tri-state area to cover the **entire US** (after improving the crawler)
+
+---
+
+## 💬 Got Questions?
+
+Feel free to reach out at: **[anton.503.overload@gmail.com](mailto:anton.503.overload@gmail.com)**