Description
Users may lose motivation when maintaining too many habits simultaneously. Currently, there is no mechanism to identify burnout risks.
A burnout detection feature could identify declining consistency and recommend adjustments before users abandon their routines.
Proposed Solution
Analyze habit completion history to detect early signs of burnout.
Suggested Changes
- Burnout score
- Consistency trend analysis
- Smart recovery suggestions
- Recommend habit reduction
- Weekly wellness summary
- Recovery progress tracking
Expected Outcome
Users can maintain sustainable routines and avoid abandoning their habits due to overload.
GSSoC Contribution
I would like to work on this issue under GSSoC 2026.
Please assign this issue to me if suitable.
Suggested Labels
- gssoc-2026
- AI
- analytics
- enhancement
Description
Users may lose motivation when maintaining too many habits simultaneously. Currently, there is no mechanism to identify burnout risks.
A burnout detection feature could identify declining consistency and recommend adjustments before users abandon their routines.
Proposed Solution
Analyze habit completion history to detect early signs of burnout.
Suggested Changes
Expected Outcome
Users can maintain sustainable routines and avoid abandoning their habits due to overload.
GSSoC Contribution
I would like to work on this issue under GSSoC 2026.
Please assign this issue to me if suitable.
Suggested Labels