Problem Statement

  • Limited healthcare awareness in rural and semi-urban areas​​​

  • Lack of timely access to doctors and medical guidance

  • Language barriers prevent proper understanding of health information

  • Misinformation spreads quickly during disease outbreaks

  • Missed vaccination schedules due to lack of reminders

Objectives

1. Multilingual AI chatbot:

  • Provides health guidance in multiple languages.
  • Breaks language barriers for wider accessibility.

2. Preventive healthcare education:

  • Shares tips on healthy habits, nutrition, and hygiene.
  • Encourages proactive measures to avoid diseases.

3. Symptom checklists:

  • Helps users identify potential health issues early.
  • Guides users on next steps, like consulting a doctor.

Features of the Chatbot

  • Multilingual support (local languages + Hindi/English)

  • Accessible via WhatsApp           and SMS          (low internet dependency)

  • 24/7 availability for health queries

  • Simple conversation style (easy to understand)

  • Voice and text input for low-literacy users

  • Integration with health portals for reliable data

  • AI-powered query resolution with ~80% accuracy

 

 System Architecture

  1. User Input: Queries via WhatsApp or SMS

  2. Chatbot Engine:

    • Natural Language Processing (NLP)

    • Language Translation (local → system → local)

    • AI Response Generation

  3. Database Integration:

    • Government health databases (vaccination, disease data)

    • Outbreak alert systems

    • Knowledge base of FAQs & preventive care guides

  4. Response Delivery:

    • Reply in user’s chosen language

    • Voice/Text format

Expected Outcomes

  • 80% accuracy in answering health-related queries

  • 20% increase in awareness in rural and semi-urban communities

  • Reduction in misinformation during outbreaks

  • Improved vaccination adherence (timely reminders)

  • Faster community response to disease outbreaks

  • Strengthened trust in government health systems

Impact

  • Empowers rural and semi-urban populations with reliable knowledge

  • Supports government health initiatives

  • Reduces burden on primary healthcare workers

  • Acts as an early warning system for outbreaks

  • Strengthens digital healthcare infrastructure

Challenges & Solutions

  • Low digital literacy → Provide voice-enabled chatbot for easier use

  • Multiple local dialects → Train AI models on regional datasets

  • Poor internet connectivity → Enable SMS-based interaction

  • Data privacy concerns → Secure integration with government databases

  • Trust in chatbot answers → Source information only from official health portals

Conclusion

“Our AI-driven public health chatbot is designed to bridge the gap between healthcare services and rural or semi-urban communities. By providing multilingual, accurate, and timely health information, it empowers people to make informed decisions about preventive care, disease symptoms, and vaccination schedules. Integration with government health databases ensures that the information is trustworthy, while real-time alerts for outbreaks help communities respond quickly to health emergencies. Beyond just delivering information, the chatbot supports government health initiatives, reduces the workload on primary healthcare workers, and encourages healthier lifestyles. With expected improvements in awareness and query accuracy, this project demonstrates how technology can be leveraged to create meaningful social impact and improve public health outcomes.”

THANK YOU

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