LaErre9/Player_Scouting_Recommendation_System
The Player Scouting Recommendation System is a tool designed and engineered for football scouts, coaches and analysts. This system uses advanced information retrieval and artificial intelligence techniques to revolutionize player scouting.
Combines Apache Solr for indexed player data retrieval with cosine similarity and K-Means clustering to identify stylistically similar players, then generates customized scout reports via LangChain-integrated GPT-3.5. The Streamlit interface provides dynamic autocomplete search across FBRef data from Europe's top five leagues (2022-2023 season), with report quality validated using BERTScore and RougeScore metrics.
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Jul 12, 2025
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