DoodleDiagnosis

HOME PAGE
LOGIN PAGE
ABOUT US
TRY DEMO
RESOURCES
WELLNESS AND SUPPORT
GET INVOLVED
FEEDBACK AND COMMUNITY
EMOTIONAL LEARNING ZONE

Inspiration

We were inspired by a simple, powerful truth:
“When kids can’t say it, they draw it.”

Children often struggle to express their feelings with words , but their doodles, scribbles, and sketches can communicate what they cannot. With mental health challenges on the rise, especially among youth, early emotional support can make all the difference. We envisioned a tool that listens not with ears, but with empathy and AI — one that bridges art and awareness.

We were also driven by our own experiences. As students and creators juggling hectic schedules, we realized how difficult it can be to access mental wellness tools — even for ourselves. We wanted to build something simple, intuitive, and emotionally intelligent: a resource that supports children and empowers families, teachers, and therapists to connect and care more effectively.

What It Does

DoodleDiagnosis is a web-based tool that transforms children’s drawings into emotional insights using AI-powered analysis.

Children can freely doodle happy faces, broken hearts, rain clouds, sunshine, and more. Our system interprets these visual cues to recognize basic emotional states (e.g., happy, sad, angry, anxious) and connects them with interactive learning resources.

Key Features:

Interactive Drawing Demo — Real-time emotion prediction from doodles
Emotional Learning Zone — Games, videos, and stories to help children understand feelings
Mood Journal — Personalized records for self-reflection and growth
Role-Based Access — Tailored tools for children, parents/educators, and therapists
Emma’s Journey — A fictional use-case modeling a child’s emotional growth over time

How We Built It

Tech Stack Highlights:

Design: Figma for UI/UX prototyping and visual design
Frontend: React.js with Tailwind CSS
AI/ML: Emotion classification via image prompt tuning and color/pattern detection
Storage: Firebase for authentication and mood journals
Creative Tools: Final Cut Pro X, Youtube studio.

Process Overview:

Mapped the user journey for three roles: Child, Parent/Educator, Therapist
Designed interactive demo screens and emotional storytelling modules
Created sample profiles (like Emma’s Journey) to illustrate real-life use cases
Scripted flows and microcopy to ensure clarity, warmth, and emotional safety

Challenges We Ran Into

Mapping emotions from abstract doodles with limited training data
Designing secure and privacy-conscious emotional record storage
Supporting multiple user roles without cluttering the experience
Creating a realistic AI demo without a full backend or live-trained model

Accomplishments We're Proud Of

Built a clickable, animated prototype with a fully narrated use-case
Designed a safe, child-friendly interface
Created an emotion-based drawing classifier using Google’s Teachable Machine
Told a clear emotional story using visuals, animation, and voiceover
Balanced AI innovation with deep empathy for mental wellness

What We Learned

Emotional tech should support, not diagnose — empathy comes first
Designing for children demands simplicity, trust, and joy
Visual storytelling is a powerful tool for emotional literacy
Thoughtful AI can act as a compassionate companion, not just a computational tool