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SIH 2026

Smart India Hackathon · sih.gov.in

226 statements
SoftwareSpace TechnologySIH26003

AI-Based Cognitive Gaming and Memory Assistance Platform for Elderly Dementia Patients in North Eastern Region (NER)

Ministry of Development of North Eastern Region (MDoNER)

Open sih.gov.in
Organisation
Ministry of Development of North Eastern Region (MDoNER)
Department
Ministry of Development of North Eastern Region (MDoNER)
Category
Software
Theme
Space Technology
Submission deadline
20 September 20262026-09-20
Ideas submitted
0/500
Serial number
3
Data captured on
2026-08-23
Dataset link
No dataset link published
Contact info
No contact published
Youtube link
No video published
Problem brief

Background

The North Eastern Region (NER) is witnessing a gradual rise in age-related cognitive disorders such as dementia and memory loss among the elderly population. Many families in remote and rural areas face challenges in accessing specialized neurological care, cognitive therapy, and long-term elderly support services due to limited healthcare infrastructure and geographical barriers. Elderly patients suffering from dementia often experience memory decline, confusion, anxiety, and social isolation, while caregivers face difficulties in continuous monitoring and engagement. There is limited availability of affordable and culturally inclusive digital therapeutic solutions tailored for elderly individuals in the North-Eastern Region. To strengthen elderly healthcare and improve cognitive well-being, there is a need for an accessible, engaging, and Al-enabled cognitive gaming solution designed specifically for dementia patients in NER.

Description

This problem statement seeks the development of an AI-powered cognitive gaming and memory assistance platform for elderly dementia patients in the North Eastern Region. The solution should:

  • Include interactive cognitive games and activities focused on:
  • Memory improvement
  • Attention and concentration 0 Daily routine recall
  • Pattern and object recognition of emotional and mental engagement b. Use AI/ML algorithms to adapt difficulty levels based on patient performance and cognitive condition c. Support multilingual and voice-assisted interaction suitable for elderly users in NER Include culturally familiar themes, visuals, sounds, and regional language support for d. better engagement e. Provide reminders for:
  • Medicines
  • Hydration
  • Daily activities
  • Medical appointments.
  • Enable caregivers and healthcare workers to monitor patient progress through dashboards and activity levels g. Work in low-connectivity environments with offline functionality support h. Be accessible through mobile/tablet devices with a simple and elderly-friendly interface The platform should encourage long-term cognitive engagement, emotional well-being, and social interaction among elderly users.

Expected Solution: A user-friendly Al-enabled cognitive assistance platform with:

  • Adaptive gaming and memory training modules
  • Voice-enabled multilingual interface
  • Cognitive performance tracking and analytics dashboard
  • Caregiver monitoring and alert system
  • Offline synchronization support for remote areas
  • Secure patient data management system
  • Simple and accessible UI/UX designed for elderly users The solution should support early cognitive intervention, improve quality of life for elderly dementia patients, and strengthen digital healthcare accessibility across the North Eastern Region.
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