Elderly-Care

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🧠 Elderly AI Assistant

A smart, voice-enabled health monitoring and reminder system designed to empower elderly individuals with proactive care and real-time safety alerts.

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🩺 Problem Statement

Elderly individuals often face:

• ❌ Forgetfulness (e.g., missing medication or appointments)
• ❌ Lack of immediate assistance during emergencies or falls
• ❌ Isolation without emotional support or daily check-ins
• ❌ Complex or expensive monitoring systems

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🌟 Our Solution

An easy-to-use AI-powered assistant that:

• ✅ Responds to voice or text
• ✅ Provides emotional support and smart summaries
• ✅ Detects inactivity and fall patterns (via dataset simulation)
• ✅ Sends real-time alerts to caregivers
• ✅ Displays health, reminders, and safety data in tables
• ✅ Uses multi-agent LLMs to generate contextual responses

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🔍 Key Features

Feature	Description
🗣️ Voice Support	Speech recognition + text-to-speech
⏰ Smart Reminders	Medication, appointments, exercise
📊 Health Monitoring	Live status from dataset or user input
🛡️ Safety Alerts	Fall detection, inactivity alerts
🧠 Multi-Agent LLM AI	Context-aware responses using CrewAI
🔎 Semantic Search (FAISS)	Match user queries to past logs or notes
👵 Elder-Friendly Interface	Clean UI with large buttons and voice

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🛠 Tech Stack

Technology	Purpose
Python	Core backend logic
Streamlit	Interactive web UI
FAISS	Fast semantic vector search
SentenceTransformer	Embedding user and stored inputs
CrewAI + LLMs	Multi-agent AI reasoning
HuggingFace/Together	LLM APIs for response generation
SpeechRecognition	Voice input
pyttsx3	Voice output
Pandas / NumPy	Health/reminder data handling

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📁 Folder Structure

Elderly_AI_Assistant/
├── main.py                        # Entry point with user selection
├── pages/
│   ├── elder_dashboard (1).py     # Elder interface
│   └── caretaker_dashboard.py     # Caretaker dashboard
├── backend/
│   ├── ai_service.py              # Reminder, health, safety services
│   └── user_service.py            # Query dispatcher
├── ai_agents.py                   # CrewAI-based agent logic
├── data/
│   ├── health_data.csv
│   ├── reminder_data.csv
│   ├── monitoring_data.csv
├── requirements.txt
├── README.md

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🧪 How to Run Locally

git clone https://github.com/your-repo/elderly-care-assistant.git
cd elderly-care-assistant

python -m venv venv
# For Windows:
venv\Scripts\activate
# For Mac/Linux:
source venv/bin/activate

pip install -r requirements.txt
streamlit run main.py

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🧠 AI Capabilities

• Natural conversations powered by LLMs (LLaMA 3.3, Mistral, etc.)
• Contextual awareness via vector matching (FAISS + SentenceTransformer)
• CrewAI multi-agent response coordination for:
  • Emotional support
  • Safety monitoring
  • Reminder management

Example Queries:

• “Did I take my medicine today?”
• “How is my health?”
• “Was there a fall this week?”
• “Tell me about my activities yesterday.”

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🎯 Use Case Scenarios

• 👵 "Remind grandma to take her pills at 10 AM."
• 🛠 "Alert the caregiver if an elder falls in the kitchen."
• 📈 "Monitor heart rate and movement patterns."
• 💬 "Chat with an AI that understands how I feel."

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🏆 Achievements

• ✅ Real-time voice interaction
• ✅ Elder-centric usability
• ✅ Smart AI summaries with CrewAI agents
• ✅ FAISS-powered query recall
• ✅ Safety & health alerts integrated

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🙌 Special Thanks

• HuggingFace Inference API
• Streamlit Community
• CrewAI Open Source Devs

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Demo Video

video

Contributor

Nikita Verma

📜 License

This project is under the MIT License. Feel free to use or improve!