docs: add README.md for HousePricePrediction

Author: sravanioleti

src/HousePricePrediction/README.md

@@ -0,0 +1,30 @@
+# House Price Prediction (Jarvis)
+
+This is a small, self-contained house price prediction example (Level 2). It includes:
+- A reproducible training & evaluation script (`housePricePrediction.py`).
+- Optional Streamlit demo (`housePricePrediction_streamlit.py`).
+- A tiny example dataset in `examples/` for quick smoke tests.
+
+**Dataset:** Use the included sample for quick tests. For full training, the maintainer should download the full **Ames Housing dataset** (link provided below).
+
+## How to run (quick)
+1. Create and activate a virtual environment:
+   ```bash
+   python -m venv .venv
+   source .venv/bin/activate
+   ```
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. Run training + evaluation:
+   ```bash
+   python housePricePrediction.py
+   ```
+4. Optional streamlit demo:
+   ```bash
+   streamlit run housePricePrediction_streamlit.py
+   ```
+## Dataset links
+- Ames Housing dataset on Kaggle (recommended): https://www.kaggle.com/c/house-prices-advanced-regression-techniques
+*(NOTE: Do not commit large model files (like `house_price_model_joblib.pkl`) or the full dataset.)*