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Siri2.0

• Built a real-time, voice-enabled GenAI assistant using Retrieval-Augmented Generation (RAG) with multi-turn contextual memory, custom query parsing, and ranking logic for accurate user intent recognition • Integrated speech recognition and text-to-speech APIs to enable lifelike, natural voice interactions, with backend support for email summarization and actionable to-do extraction showcasing real-world applicability. • Designed a privacy-first, session-based architecture with encrypted data handling, using FastAPI and React to deliver an intelligent assistant capable of secure, on-device conversation and contextual reasoning. How it's different from Apple's Siri? Contextual Memory ❌ Apple’s Siri: Limited; resets quickly between sessions ✅ My Siri 2.0: Retains full conversation context during a session Email Summarization & To-Do Extraction ❌ Apple’s Siri: Cannot deeply process or summarize emails ✅ My Siri 2.0: Reads and summarizes emails, highlighting actionable to-dos Personalized Reminders & Follow-ups ❌ Apple’s Siri: Basic reminders only ✅ My Siri 2.0: Provides tailored follow-ups based on prior interactions Emotional Support & Empathy ❌ Apple’s Siri: Responses are generic and transactional ✅ My Siri 2.0: Uses context to offer empathetic, supportive advice Custom Data Integration ❌ Apple’s Siri: Limited to preset commands ✅ My Siri 2.0: Integrates user-specific data (notes, emails, events) for richer responses Persistent Conversation Context ❌ Apple’s Siri: Minimal within each interaction