Local semantic search for podcasts.

Built this as part of my first hackathon at co-op. Learned about embeddings, vector spaces, and cosine similarity.

Used open-source embedding models from Hugging Face and the Sentence Transformers library to generate transcript embeddings and process query requests, then compute similarity scores between them and pinpoint the timestamps of the most similar segments.