diff --git a/README.md b/README.md
index f032144..7c9154e 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# 🏃‍♂️ GPX Jogging Dashboard
+# 🏃‍♂️ Jogging Dashboard
 
-An interactive Python Dash app to visualize, analyze, and explore your jogging or running sessions recorded as GPX files.
+An interactive Python Dash app to visualize, analyze, and explore your jogging or running sessions recorded as GPX/FIT files.
 
 <p align="left">
     <img src="WebAppGPXDashboard.jpg" alt="Description" width="800">
@@ -13,7 +13,8 @@ An interactive Python Dash app to visualize, analyze, and explore your jogging o
 - **Info Banner** with total distance, duration, and average pace  
 - **Interactive Map View** with route trace and start/stop markers  
 - **Elevation Profile** with relative height and gradient fill  
-- **Speed Over Time** plot with smoothing and average line  
+- **Speed Over Time** plot with smoothing and average line 
+- **Heart Rate Over Time** plot with smoothing and average line (if .fit)
 - **Deviation from Mean Speed** to see pacing consistency  
 - **Pace Bar Chart** showing per-kilometer pace breakdown  
 
@@ -22,9 +23,11 @@ An interactive Python Dash app to visualize, analyze, and explore your jogging o
 ## Project Structure
 
 ```
-app.py                 # Main Dash application
+gpx_app.py             # Main Dash application for gpx files
 gpx_files/             # Folder for storing GPX files
-requirements.txt       # Required Python packages  (TODO!)
+fit_app.py             # Main Dash application for fit files
+fit_files/             # Folder for storing FIT files
+requirements.txt       # Required Python packages
 README.md              # This file
 ```
 
@@ -35,8 +38,8 @@ README.md              # This file
 ### 1. Clone the repository
 
 ```bash
-git clone https://github.com/yourusername/gpx-jogging-dashboard.git
-cd gpx-jogging-dashboard
+git clone https://github.com/yourusername/jogging-dashboard.git
+cd jogging-dashboard
 ```
 
 ### 2. Install dependencies
@@ -55,13 +58,15 @@ pip install -r requirements.txt
 - plotly
 - pandas
 - numpy
+- scipy
 - gpxpy
+- fitparse
 
 
 ### 3. Run the app
 
 ```bash
-python app.py
+python fit_app.py
 ```
 
 Then open your browser and go to:  
@@ -71,8 +76,8 @@ Then open your browser and go to:
 
 ## Uploading Your GPX File
 
-1. Export your activity (e.g., from Strava, Garmin, etc.) as a `.gpx` file  
-2. Place the file into the `gpx_files/` directory  
+1. Export your activity (e.g., from Strava, Garmin, etc.) as a `.gpx` or `.fit` file  
+2. Place the file into the `gpx_files/` or `fit_files/` directory  
 3. Select it via the dropdown in the dashboard
 
 ---
@@ -82,21 +87,22 @@ Then open your browser and go to:
 - **Dash** (by Plotly) for building the UI and graphs  
 - **Pandas** for data wrangling  
 - **Plotly Graph Objects & Express** for advanced visuals  
+- **Scipy** for smoothing the data lines
 - **GPXPy** for parsing `.gpx` files  
 - **Numpy** for vectorized math and smoothing  
+- **FitParse** for  parsing `.fit` files
 
 ---
 
 ## Example GPX File
 
-You can test the dashboard by placing any valid `.gpx` file in the `gpx_files/` directory. Make sure it contains track points with elevation and time data.
+You can test the dashboard by either placing any valid `.gpx` file in the `gpx_files/` or any valid `.fit` file in the `fit_files/` directory. Make sure it contains track points with elevation and time data.
 
 ---
 
 ## To Do / Ideas
 
-- [ ] Heart rate support if present in GPX  
-- [ ] Export graphs as images  
+- [X] Heart rate support if present in FIT  
 - [ ] Export as PDF report  
 - [ ] Multi-run comparison