Location History Viewer

Overview

The Location History Viewer is an AI-based solution designed to provide historical information and significant events related to a specific location. The system takes input from a camera and geolocation data, utilizes the Google Lens API for image detection, Google Maps/Google Earth API for geolocation, and OpenAI's GPT-4 or Wikipedia API for historical data. Additionally, it features voice output in multiple languages using Google Cloud's Text-to-Speech service.

Project Structure

my_project/
├── app.py
├── camera.py
├── location.py
├── history.py
├── google_apis.py
├── requirements.txt
└── README.md

• app.py: The main Streamlit application file integrating all components.
• camera.py: Handles the video capture from the webcam.
• location.py: Retrieves geolocation data based on latitude and longitude.
• history.py: Fetches historical information from OpenAI GPT-4 and Wikipedia API.
• google_apis.py: Contains functions to interact with Google Lens API and Google Cloud Text-to-Speech API.
• requirements.txt: Lists all the required Python packages.
• README.md: Project documentation.

Installation

Prerequisites

• Python 3.7 or higher
• Google Cloud account with Vision and Text-to-Speech APIs enabled
• OpenAI API key

Setup

1. Clone the repository:

bash    git clone https://github.com/yourusername/location-history-viewer.git    cd location-history-viewer    

2. Install the required libraries:

bash    pip install -r requirements.txt    

3. Set up Google Cloud credentials:

Follow the Google Cloud instructions to set up authentication and download your credentials.json file. Set the environment variable:

bash    export GOOGLE_APPLICATION_CREDENTIALS="path/to/your/credentials.json"    

4. Set up OpenAI API key:

bash    export OPENAI_API_KEY="your-openai-api-key"    

Usage

1. Run the Streamlit app:

bash    streamlit run app.py    

2. Interacting with the app:

• Enter the latitude and longitude in the sidebar to get the location data.    - Click "Get Location Data" to retrieve and display historical information.    - Use the "Camera Feed" section to view the live video feed from your webcam.    - Click "Detect Content" to use Google Lens API for object detection in the video feed.    - Click "Read History" to listen to the historical information in the selected language.

Features

• Camera Input: Captures video feed from the webcam.
• Geolocation Retrieval: Fetches location data based on latitude and longitude.
• Historical Information: Retrieves history and significant events using OpenAI GPT-4 or Wikipedia API.
• Object Detection: Uses Google Lens API to detect objects in the camera feed.
• Voice Output: Converts text to speech using Google Cloud Text-to-Speech API in multiple languages.

##--------------------------------------------## Street view- map embedding?

Project Files

app.py

The main application file that integrates the camera feed, geolocation retrieval, historical data fetching, and text-to-speech functionalities into a Streamlit app.

camera.py

Handles video capture from the webcam using OpenCV.

location.py

Retrieves geolocation data based on provided latitude and longitude using the Geopy library.

history.py

Fetches historical information using OpenAI GPT-4 and Wikipedia API.

google_apis.py

Contains functions to interact with Google Lens API for object detection and Google Cloud Text-to-Speech API for voice output.

requirements.txt

Lists all the required Python packages for the project:

streamlit
opencv-python
geopy
requests
google-cloud-vision
google-cloud-texttospeech
openai

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