Sakura AI is a sophisticated conversational AI designed to maintain human-like interactions with personalized context awareness. This project demonstrates advanced natural language processing techniques and contextual memory management to create engaging, continuous conversations.

✨ Key Features

🧠 Advanced Context Management

• Memory Retention: Stores and recalls past conversations to maintain continuity

• RAG Implementation: Retrieves and applies relevant past interactions using TF-IDF scoring

• Contextual Awareness: Maintains conversation flow by recognizing references to previous topics

👤 User Profiling

• Dynamic User Profiles: Builds comprehensive user profiles over time

• Preference Tracking: Automatically extracts and remembers user preferences and interests

• Mood Detection: Analyzes emotional tone in messages to adapt conversation style

💬 Natural Language Processing

• Entity Extraction: Identifies important people, places, and concepts in conversations

• Sentiment Analysis: Recognizes emotional patterns in text

• Topic Classification: Categorizes conversations into relevant domains

⚙️ Technical Implementation

• MongoDB Integration: Scalable document storage for user context and conversation history

• NLP Pipeline: Text preprocessing, tokenization, and semantic analysis

• Memory Management: Smart trimming of conversation history to maintain relevant context

🌐 Global Context Awareness

• Trending Topics: Tracks common themes across all conversations

• Shared Knowledge Base: Maintains global context that benefits all user interactions