Remove evaluation scripts and sample data for MentorMe recommendation system

Enhance logging for scoring and reranking processes

Update recommendation weights in settings for improved model performance

Enhance evaluation metrics and reporting in recommendation system

Update sample mentee and mentor data for enhanced evaluation

Update evaluation scripts and data structures for MentorMe recommendation system

Enhance RecommendationRequest model and mentee query text generation

Add evaluation scripts and sample data for MentorMe recommendation system

Refactor recommendation request and mentee query text handling

Remove ScheduleDto and related availability fields from models and text builder

Refactor mentor availability handling across services

Refactor RecommendationService to remove filtering logic

Update requirements.txt to include protobuf dependency

Implement fallback filtering in RecommendationService for mentor queries

Enhance logging in PineconeService for query results and statistics

Add test for recommend mentors endpoint and enhance logging in services

Initial commit of the MentorMe AI Recommendation Server, including core application structure, environment configuration, Docker setup, and essential services for mentor recommendations and health checks.

initial commit