Habit Tracker Desktop App

Resolutions fail by February for a well-studied reason: motivation is unreliable, but visible streaks are compelling — nobody wants to break the chain. Habit trackers weaponize this with daily checklists, streak counters and calendars, and the data they accumulate reveals genuine patterns: weekday versus weekend adherence, which habits drag the average down, when streaks actually break. This project builds that loop as a calm desktop app. Habits carry schedules — daily, or specific weekdays like gym on Mon/Wed/Fri — with optional reminders. The streak engine counts consecutive expected days while skipping rest days instead of breaking on them. The calendar colors each day by completion fraction, the statistics view aggregates heatmaps and strongest streaks, and the missed-day analyzer turns a broken streak into an observation with a fix, such as a rest-day mode for Sundays.

1. The user defines habits with schedules: daily, or specific weekdays, each with an optional reminder time.
2. Each day the checklist shows the expected habits; checking one off timestamps the check-in and extends its streak.
3. Rest days are marked in advance; the streak engine skips them instead of counting them as breaks.
4. The calendar colors every day by the fraction of expected habits completed — full, partial or missed.
5. Opening a missed day shows which habits broke and the recorded reason, plus the analyzer's pattern observations.
6. Statistics aggregate the log into completion rates, heatmaps, best weeks and the strongest-streaks leaderboard.

Tech stack:

• Python with desktop GUI toolkit (or Electron)
• SQLite for local storage
• Streak engine (weekday-mask + rest-day logic)
• Calendar and heatmap rendering
• OS notification API for reminders (optional)

• [Habit definitions with schedules] Daily habits or weekday-specific ones (gym Mon/Wed/Fri, guitar Tue/Thu/Sat) with per-habit reminders.
• [Daily checklist] One-tap check-off with per-habit streak badges and an overall completion count for the day.
• [Rest-day-aware streaks] Planned rest days are skipped by the streak counter instead of resetting it — a Sunday off doesn't kill a 23-day streak.
• [Completion calendar] A monthly view colors each day full, partial or missed; tapping a day shows that day's checklist.
• [Missed-day analysis] For a broken streak, the app shows what was missed, the noted reason, and pattern-based suggestions.
• [Statistics dashboard] Overall completion rate, longest streak, total check-ins, average habits per day, completion heatmap and strongest-streaks ranking.
• [Streak badges and personal bests] Per-habit day counters and an overall personal-best display keep milestones visible.
• [Fully local data] Every habit, check-in and streak lives in a local database — no account, no cloud, no network needed.

• Complete desktop app source code (checklist, calendar, stats, streak engine)
• Streak-engine documentation (expected-day computation, rest-day rules)
• Sample 90-day habit history for demonstration
• Setup guide (install, usage walkthrough)
• Project report PDF (background, habit-formation theory, methodology)
• PPT presentation for final review
• Viva Q&A preparation document (data modeling, date logic, desktop apps)

• Streaks measure check-ins, not effort quality — checking off gym says nothing about the workout itself, and the report states this plainly.
• The analyzer's pattern observations are simple weekday aggregations, not a behavioral model; suggestions are heuristics.
• Reminders depend on the OS notification system; if notifications are disabled at OS level, they won't appear.
• There is no phone companion or cloud sync in this build; habits live on one desktop.
• Schedule changes apply going forward; historical expected-day computations use the schedule active at the time (documented in the report).