Main Page
Documentation
Terminologies
Space Agencies
Planets
Rockets
Astronauts
Telescopes
Space Museums
Notable People
Images
AI Chat
API Index Page
Swagger API

CosmoPedia - Hackathon Documentation

Inspiration

As space aspirants, my team and I were constantly frustrated by the scattered nature of space-related information across the internet. Whether we were researching rockets, learning about astronauts, or exploring space terminology, we had to visit multiple websites and sources. We realized there was no single, comprehensive platform where space enthusiasts could access all this valuable information in one place. This gap inspired us to create CosmoPedia - a unified knowledge base that brings together verified space data from multiple open sources.

What it does

Cosmopedia is a unified, open-access space knowledge platform that consolidates space information from multiple verified open sources into a single accessible interface. The platform features:

Space Terminologies: Database of space-related terms and definitions
Space Agencies: Information about space organizations worldwide
Planets: Solar system planets with scientific data
Rockets: Database of launch vehicles and rocket systems
Astronauts: Profiles of space explorers
Telescopes: Ground and space-based observatories
Notable People: Scientists, astrophysicists, and space pioneers
Space Museums: Global directory of space museums
Space Images: NASA image gallery integration
AI Chat: Mistral LLM-powered assistant that retrieves and enhances responses from our pre-built verified knowledge base using FAISS vector search
Open Source APIs: RESTful endpoints for all data categories

How we built it

We built CosmoPedia using modern web technologies with a focus on open access and API-first design:

Backend: Flask (Python) for server-side processing
Frontend: HTML5, CSS3, and JavaScript with space-themed responsive design
Data Sources: Aggregated from multiple verified open sources
AI Integration: Mistral LLM with FAISS vector search for retrieving and enhancing responses from verified knowledge base
API Design: RESTful endpoints for all data categories
Storage: JSON-based data storage with FAISS vector indexing for semantic search of pre-built knowledge base

Challenges we ran into

Data Aggregation: Collecting and standardizing data from multiple open sources while maintaining accuracy
FAISS Integration: Implementing vector search capabilities for semantic queries within our knowledge base
Mistral LLM Integration: Setting up AI chat to enhance responses from verified knowledge base documents
Data Consistency: Ensuring consistent formatting across different data categories
API Design: Creating intuitive RESTful endpoints for all data types

Accomplishments that we're proud of

Unified Knowledge Base: Successfully aggregated space data from 10 different categories into one platform
Open Source APIs: Created RESTful APIs that other developers can use for free
AI Integration: Implemented Mistral LLM with FAISS vector search to retrieve and enhance responses from our verified knowledge base
User Experience: Designed an intuitive space-themed interface for easy exploration
Data Accessibility: Made space knowledge freely accessible to students, professionals, and enthusiasts
Community Impact: Built a resource for learning, research, and building space applications

What we learned

Data Integration: Gained experience in aggregating and normalizing data from multiple open sources
Vector Search: Learned to implement FAISS for semantic search within our curated knowledge base
AI Integration: Understood how to integrate Mistral LLM to enhance responses from verified knowledge base documents
API Design: Developed skills in creating user-friendly RESTful APIs
Space Domain Knowledge: Expanded our understanding of space exploration and terminology
Open Source Development: Learned the importance of making knowledge freely accessible