AI-powered platform generating data-driven ad strategies by synthesizing:
- 🌍 Geospatial Data (HERE Maps)
- 📰 News/Events (NewsAPI, Ticketmaster)
- 🚦 Traffic Patterns (HERE Traffic)
- 💬 Social Sentiment (Reddit API + VADER)
- 🤖 LLM Augmentation (Llama-3 via Together.ai)
All API keys in this repo are placeholders. You must obtain your own:
-
Required APIs (Free tiers available):
# .env EXAMPLE HERE_API_KEY=your_here_maps_key # https://developer.here.com/ TICKETMASTER_API_KEY=your_ticketmaster_key # https://developer.ticketmaster.com/ NEWS_API_KEY=your_newsapi_key # https://newsapi.org/ TOGETHER_API_KEY=your_together_ai_key # https://together.ai/ REDDIT_CLIENT_ID=your_reddit_client_id # https://www.reddit.com/prefs/apps REDDIT_CLIENT_SECRET=your_reddit_secret
-
Weather API Alternative (Used in code but requires registration):
# get_weather_info.py uses WeatherAPI (https://www.weatherapi.com/) WEATHER_API_KEY=your_weatherapi_key
git clone https://github.com/yourusername/LocalityAI.git
cd LocalityAI
# Install dependencies (check requirements.txt)
pip install -r requirements.txt
# Configure API keys
mv example.env .env # Add your real keys here
# Launch Streamlit UI
streamlit run index.py
# Or run Flask API (separate terminal)
python flask_app.py├── index.py # Streamlit dashboard
├── flask_app.py # Flask API endpoint
├── llm_response.py # Llama-3 prompt engineering
├── geocode_location.py # HERE Maps geocoding
├── get_weather_info.py # WeatherAPI integration
├── get_news_info.py # NewsAPI client
├── get_events_info.py # Ticketmaster scraper
├── get_traffic_info.py # HERE Traffic analysis
├── get_sentiment_info.py # Reddit + VADER sentiment
└── requirements.txt # Python dependencies
sequenceDiagram
User->>Streamlit: Enter Location + Vertical
Streamlit->>Flask: POST /get_data
Flask->>HERE Maps: Geocode Location
Flask->>NewsAPI: Fetch Headlines
Flask->>Ticketmaster: Get Events
Flask->>Reddit: Analyze Sentiment
Flask->>Together.ai: Generate Strategy
Together.ai-->>Flask: LLM Summary
Flask-->>Streamlit: JSON Response
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Rate Limits
- HERE Maps: 100k reqs/month (free)
- NewsAPI: 500 reqs/day (free)
- Reddit: 60 reqs/minute (OAuth2)
-
Cost Monitoring
# Together.ai: ~$0.20 per 1k tokens (Llama-3) # HERE Maps: $0.50 per 1k geocodes after free tier
-
Ethical Considerations
- Reddit data anonymized via
clean_text() - Location fuzzing (±100m) in
get_sentiment_info.py
- Reddit data anonymized via
Apache 2.0 - See LICENSE
Commercial use requires API subscriptions


