Development of a Behavioral Screening Platform for Children
Budget: $3,000 – $5,000 USD
PROJECT BRIEF – Development of a Behavioral Screening Platform for Children
Project Summary:
We are developing a digital platform for behavioral screening and data analysis in children, focused on collecting multimodal inputs (videos + questionnaires) and generating automated clinical reports. The system must utilize artificial intelligence with continuous learning capability, improving accuracy as more cases are processed and validated.
KEY PLATFORM FEATURES
1. Secure Registration and Access (with 2FA):
User roles: caregivers (parents) and healthcare professionals.
Two-factor authentication (password + code via email, SMS, or authenticator app).
2. Video Upload and Optimization:
Parents upload short home videos of children.
Secure cloud storage.
Automatic compression and preprocessing for analysis.
Videos must allow behavioral analysis of:
Motor skills
Eye contact
Verbal expression
Social interaction
Motivation
3. Interactive Questionnaires (AI-Guided):
Smart questionnaires filled by parents or teachers.
The form behaves like a guided conversation, adapting questions based on previous responses using AI.
4. Intelligent Data Interpretation:
The platform will cross-analyze video and questionnaire data, identifying behavioral patterns.
AI must reference similar past cases in the database for comparison.
Interpretation follows predefined clinical parameters, with support from AI and/or integration with third-party intelligent APIs.
5. Automated Report Generation:
Two report formats:
Professional Report (technical, detailed for clinicians)
Family Report (simplified language, visual elements, charts)
Reports must be downloadable (PDF) and securely stored.
6. Medical Review Panel:
Doctors access a secure panel to review each case: videos, responses, AI-generated report.
They can edit or approve the report.
Final reports are only released to the family after manual validation.
7. Mandatory Feedback for Continuous Learning:
Before accessing the final report, users must submit a quick feedback action (e.g. like, thumbs up, satisfaction rating).
This is used to feed the AI model, improving future results.
The system must also be able to read and learn from manually submitted clinical reports, reinforcing the training base over time.
8. Admin Panel for Clinic Management:
Full control over users, records, case progress, and system settings.
Dashboard with KPIs: number of completed cases, average time per report, feedback history, etc.
TECHNICAL STACK (Preferred)
Frontend: React or Vue.js
Backend: Node.js (Express) or Python (Django/Flask)
Database: PostgreSQL (relational) + NoSQL (for behavioral case storage, optional)
Cloud Storage: AWS S3, Firebase, or equivalent
AI: Machine Learning models (in-house) and/or integration with third-party AI APIs
Security: JWT authentication, 2FA, LGPD/GDPR compliance, encryption of sensitive data
MAIN GOALS
The platform must:
Collect and analyze behavioral data from children (via video and form)
Automatically generate clinical reports based on patterns and references
Improve over time through continuous learning and user feedback
Be friendly and accessible to caregivers, and reliable and efficient for professionals
IDEAL FREELANCER PROFILE
Experience with clinical, educational or healthcare platforms
Strong AI/Machine Learning skills (supervised learning, pattern recognition)
Familiarity with interactive UX and user onboarding for non-technical users
Knowledge of data privacy regulations (LGPD, GDPR) and secure system design
Project Summary:
We are developing a digital platform for behavioral screening and data analysis in children, focused on collecting multimodal inputs (videos + questionnaires) and generating automated clinical reports. The system must utilize artificial intelligence with continuous learning capability, improving accuracy as more cases are processed and validated.
KEY PLATFORM FEATURES
1. Secure Registration and Access (with 2FA):
User roles: caregivers (parents) and healthcare professionals.
Two-factor authentication (password + code via email, SMS, or authenticator app).
2. Video Upload and Optimization:
Parents upload short home videos of children.
Secure cloud storage.
Automatic compression and preprocessing for analysis.
Videos must allow behavioral analysis of:
Motor skills
Eye contact
Verbal expression
Social interaction
Motivation
3. Interactive Questionnaires (AI-Guided):
Smart questionnaires filled by parents or teachers.
The form behaves like a guided conversation, adapting questions based on previous responses using AI.
4. Intelligent Data Interpretation:
The platform will cross-analyze video and questionnaire data, identifying behavioral patterns.
AI must reference similar past cases in the database for comparison.
Interpretation follows predefined clinical parameters, with support from AI and/or integration with third-party intelligent APIs.
5. Automated Report Generation:
Two report formats:
Professional Report (technical, detailed for clinicians)
Family Report (simplified language, visual elements, charts)
Reports must be downloadable (PDF) and securely stored.
6. Medical Review Panel:
Doctors access a secure panel to review each case: videos, responses, AI-generated report.
They can edit or approve the report.
Final reports are only released to the family after manual validation.
7. Mandatory Feedback for Continuous Learning:
Before accessing the final report, users must submit a quick feedback action (e.g. like, thumbs up, satisfaction rating).
This is used to feed the AI model, improving future results.
The system must also be able to read and learn from manually submitted clinical reports, reinforcing the training base over time.
8. Admin Panel for Clinic Management:
Full control over users, records, case progress, and system settings.
Dashboard with KPIs: number of completed cases, average time per report, feedback history, etc.
TECHNICAL STACK (Preferred)
Frontend: React or Vue.js
Backend: Node.js (Express) or Python (Django/Flask)
Database: PostgreSQL (relational) + NoSQL (for behavioral case storage, optional)
Cloud Storage: AWS S3, Firebase, or equivalent
AI: Machine Learning models (in-house) and/or integration with third-party AI APIs
Security: JWT authentication, 2FA, LGPD/GDPR compliance, encryption of sensitive data
MAIN GOALS
The platform must:
Collect and analyze behavioral data from children (via video and form)
Automatically generate clinical reports based on patterns and references
Improve over time through continuous learning and user feedback
Be friendly and accessible to caregivers, and reliable and efficient for professionals
IDEAL FREELANCER PROFILE
Experience with clinical, educational or healthcare platforms
Strong AI/Machine Learning skills (supervised learning, pattern recognition)
Familiarity with interactive UX and user onboarding for non-technical users
Knowledge of data privacy regulations (LGPD, GDPR) and secure system design