Backend / Data
Sports Info API
A Python-based sports analytics API that retrieves NBA and MLB statistics and allows users to query data using natural language processing.
Tech Stack
Python REST API NLP Data Parsing
Key Highlights
- Retrieved and processed NBA and MLB statistical data
- Implemented NLP-based query handling for sports questions
- Translated natural language input into structured data queries
Architecture and Data
- Python backend responsible for data ingestion and processing
- Natural Language Processing layer to interpret user queries
- Query engine that maps interpreted intent to sports datasets
Problem and Solution
Problem
Sports statistics are often locked behind rigid query formats, making data exploration difficult for non-technical users.
Solution
This project introduces a Python-based API that allows users to ask natural language questions about NBA and MLB data, converting them into structured queries and returning relevant statistics.
What's next for this project
- Improve NLP accuracy with expanded training data
- Add support for additional sports leagues
- Expose the system through a public API or frontend interface
Screenshots
Natural Language Sports Query Interface 
Structured Statistical Results Output
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