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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
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