uploading readme file

README.md

@@ -1,20 +1,26 @@
 ---
-title: Energy Forecast
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
+title: Energy Forecast Dashboard
+emoji: ⚡
+colorFrom: blue
+colorTo: green
+sdk: streamlit
+app_file: app.py
 pinned: false
-short_description: Streamlit template space
-license: mit
 ---
 
-# Welcome to Streamlit!
+# 🔋 Real-Time Energy Forecast Dashboard
 
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+This app predicts short-term electricity demand using weather, time, and regional features. It pulls live smart meter data from a Supabase backend and forecasts usage for each region using a trained LightGBM model.
 
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+## 🔧 Features
+
+- Real-time predictions for today's consumption
+- Regional breakdowns by North, South, East, West
+- Downloadable CSV reports
+- Built with Streamlit, LightGBM, Supabase
+
+## 🚀 Powered By
+
+- Streamlit
+- LightGBM
+- Supabase