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Experiment
local
2025

Road Trip Memory Explorer

GPS logs become a speed-gradient Folium map with auto stop detection, EXIF photo placement, and a trip journal -- all in Streamlit

About

A Streamlit application that ingests GPS logs and renders the journey as a speed-gradient-colored interactive Folium map with automatic stop detection using configurable thresholds and photo EXIF GPS extraction for placing photos at capture locations. Includes a places/notes system backed by SQLite with 5-star ratings and trip journaling, plus a statistics dashboard with daily mileage breakdowns, hourly heatmaps, and speed distributions.

Key Features

Color-coded speed-gradient trip path on interactive maps
Automatic stop detection with duration-scaled markers
Photo gallery with EXIF GPS extraction and map placement
Comprehensive statistics dashboard
Places manager with categorization and 5-star ratings
Tag-based notes system for trip journaling
Trip segment tracking for distinct journey phases
Date range filtering and map layer toggling
CSV export of all data

Tech Stack

Language

Python

Technology

StreamlitFoliumPlotlyPandasNumPyPillowgeopy

Infrastructure

SQLite

Details

Category
Experiment
Status
local
Year
2025
Features
9
Technologies
9

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