Mapify

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  Our UI

💡 Inspiration

We wanted to make map exploration more natural and intelligent — not limited to typing rigid keywords into search bars. With Mapify, you can simply chat or speak to the map:

“Find peaceful cafés near Marina Beach” “Show me tourist spots in Paris with good weather”

Our goal was to merge AI understanding, real-time map data, and beautiful visualization — all in a single, interactive interface.

🚀 What it does

Mapify is an AI-driven conversational assistant that helps users discover nearby places through chat or voice commands.

✨ Core Features:

🧠 Understands natural language using Gemini AI

🗺️ Displays interactive Leaflet maps powered by OpenStreetMap

📍 Finds places, ratings, and photos using Foursquare Places API

🌦️ Shows real-time weather via OpenWeatherMap

💬 Supports multilingual translation and text-to-speech

📊 Visualizes data (place visits, temperature trends, distances) with Plotly

💱 Converts currencies using Fixer.io API

🧳 Generates personalized trip itineraries via Gemini

Users can ask queries like:

“Show me romantic restaurants in Paris.” “Find hospitals near Anna Nagar.” “Plan a 3-day trip in Bali.”

…and Mapify instantly responds with maps, details, photos, weather, and insights.

🛠️ How we built it

Frontend: Streamlit (Python)

Mapping: Leaflet.js + OpenStreetMap tiles

Backend APIs:

🏙️ Foursquare Places API – for POI data, photos, and categories

🌤️ OpenWeatherMap – for live weather updates

🧠 Gemini API – for NLP, review summaries, itinerary generation, and recommendations

🌐 Nominatim (OpenStreetMap) – for geocoding (address ↔ coordinates)

💱 Fixer.io API – for live currency exchange rates

Voice Interface: SpeechRecognition + gTTS

Data Visualization: Plotly & Pandas for charts and insights

UI Styling: Custom CSS for a clean, modern chat interface

⚙️ Architecture Overview User → Streamlit Chat UI → Gemini NLP Parser → OpenWeatherMap (Weather) → Nominatim (Geocoding) → Fixer.io (Currency) ↓ Leaflet Map + Plotly Charts + Voice Feedback

🚧 Challenges we ran into

🔗 Integrating multiple APIs while keeping latency low

🗺️ Replacing Google Maps with Foursquare + OSM equivalents

🧭 Handling varying coordinate systems and data structures

🧠 Tuning Gemini prompts to extract structured intent (place types, city names, etc.)

🎨 Embedding Leaflet HTML inside Streamlit cleanly

🌐 Managing API rate limits and free-tier quotas

🏆 Accomplishments that we’re proud of

Built a full-stack conversational map system from scratch in Python

Successfully replaced Google Maps API with Foursquare and OpenStreetMap

Integrated voice, multilingual, and AI functionalities in one platform

Designed a clean, interactive Streamlit interface with real map rendering

Generated dynamic charts, itineraries, and recommendations from live data

📚 What we learned

Efficient multi-API orchestration in Python

How to leverage Gemini for contextual understanding and structured outputs

Practical Leaflet + Streamlit integration for web-based mapping

Handling user context and follow-up queries seamlessly

Balancing API performance with design responsiveness

🔮 What’s next for Mapify

🧭 Add routing and directions using Geoapify or HERE APIs

📍 Enable real-time user tracking and route optimization

🗣️ Build contextual memory for multi-turn conversations

🌆 Add photo gallery and reviews from multiple APIs

📱 Launch a mobile version with offline map support

🤝 Open-source Mapify for developers to extend city-specific assistants

❤️ Built with

Python • Streamlit • Leaflet.js • Foursquare API • OpenWeatherMap • Gemini • Plotly • gTTS • SpeechRecognition

🧑‍💻 Team

Project: Mapify Developer: Abinayashri & Arthi Institution: Sri Manakula Vinayagar Engineering College, Puducherry