Inspiration

With rising screen addiction, overstimulation, and declining focus among students and young professionals, we wanted to build an AI-powered tool that helps people regain control of their digital habits. Most wellness apps track screen time but do not actively coach users or intervene in real time. We were inspired to create an AI-driven digital wellness coach that guides users, predicts craving patterns, and offers intelligent detox routines using behavioural insights.

What it does

Dopamine Detox Coach is an AI-based behavioural assistant that helps users reduce screen addiction and improve focus.

The app:

Generates personalized detox plans using AI

Predicts screen cravings using user patterns

Gives real-time intervention prompts

Tracks mood, focus levels, and urges

Provides daily low-dopamine routines

Uses natural-language coaching to motivate users

It acts like a smart detox companion, improving mental clarity and discipline through adaptive AI guidance.

How we built it

We built the app around an AI-centric architecture optimized for on-device processing:

Tech Stack

Flutter for UI

Firebase for cloud sync

TensorFlow Lite / Edge AI models for on-device prediction

Rule-based + LLM-like prompting for the AI Coach

Behavioural pattern recognition model to detect screen craving trends

AI Capabilities

Predictive modelling analyzing:

phone usage time

peak distraction hours

user mood logs

consistency patterns

AI Coach trained on:

cognitive behavioural principles

minimalistic detox tasks

positive reinforcement messaging

Optimization

Lightweight model compression for low-latency inference

On-device processing for privacy and offline usage

Challenges we ran into

Training a behavioural model on limited user data

Making AI recommendations feel human without overwhelming the user

Balancing minimal UI with interactive coaching features

Ensuring on-device predictions run fast on low-end hardware

Designing interventions that are helpful without becoming intrusive

Accomplishments that we're proud of

Successfully built a low-latency on-device AI assistant

Created a personalized detox engine based on behavioural insights

Designed a calm, minimal UI perfect for low-dopamine workflows

Developed streaks, analytics, and adaptive routines in one seamless flow

Made the app accessible, lightweight, and privacy-friendly

What we learned

AI is most effective in wellness apps when paired with simple, actionable habits

On-device AI improves user trust and privacy

Predictive behavioural modelling requires careful tuning

Minimalistic design drastically boosts user retention

Small “nudges” from AI work better than strict notifications

What's next for Dopamine Detox Coach

Integrate on-device sentiment analysis for emotional guidance

Add voice-based AI coaching

Build community-based detox challenges powered by AI analytics

Improve craving prediction using longer time-series models

Expand into wearable-device integration for smarter routine detection

Built With

  • and
  • and-adaptive-task-generation-ai-assisted-development-tools-?-used-for-rapid-ui-scaffolding-and-faster-iteration-manual-refinement-of-core-components-?-detox-engine
  • behavioral-patterns
  • flutter-+-dart-?-core-mobile-app-structure-and-ui-firebase-authentication-&-firestore-?-user-login
  • focus-mode-logic
  • low-stimulus
  • mood-logs
  • progress-storage-custom-ai-logic-layer-?-personalized-detox-routines
  • streak-system
  • ux
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