| Row ID | Full name in Chinese/中文全名 | Full name in English/英文全名 | Gender/性別 | Current Year of Study/目前就讀的年級 |
|---|---|---|---|---|
| 1 | 温茜予 | Xiyu WEN | Female/女性 | Grade 9 (Secondary 3)/中學九年級（中三） |
| 2 | 潘子鸥 | Ziou PAN | Female/女性 | Grade 9 (Secondary 3)/中學九年級（中三） |
Problem: Lack of Comprehensive Sex Education in Schools
School sex education often focuses narrowly on biological basics (e.g., reproduction) or abstinence, omitting consent, LGBTQ+ identities, mental health, and digital safety (e.g., sexting risks). Families avoid discussions due to cultural taboos, while communities lack judgment-free resources.
Impact on Life and Learning:
1. Health Risks: 58% of teens cite pornography as their primary "education," normalizing unsafe practices and spreading misinformation about STIs/pregnancy.
2. Social Harm: LGBTQ+ youth face exclusion in curricula, correlating with higher depression/suicide rates.
3. Academic Disruption: Anxiety over body changes or bullying reduces focus, while teen pregnancies derail schooling.
4. Safety Failures: Students unprepared to identify abuse due to missing consent education.
This gap perpetuates health crises, stigma, and inequity, leaving youth ill-equipped to manage relationships, identity, or online safety.
Solution & Technology Integration
Our AI-driven platform addresses sex education gaps through:
AI Chatbot with NLP:
Uses Rasa framework and custom NLP models to analyze student queries (e.g., “Is masturbation harmful?”).
Question answering example (targeting teenagers)
The chatbot ensures anonymity, allowing users to discuss sex-related topics safely—critical in cultures or families where such conversations are often stigmatized or avoided.
drawing answers from trusted sources like WHO and StudentHealth.gov.hk.
Responses follow a structured framework:
a caring introduction: with sentences such as “Thank you for your question, I am so glad to hear from you”
clear explanations in friendly language: using encouraging and positive oriented tone
Utilising LSTM models to detect urgency (e.g., “pregnancy” triggers counselor API alerts).
Human interference to ensure the safety of users(teenagers)
Computational Thinking Workflow:
Problem decomposition: Splits queries into intent classification (medical/legal/emotional) via decision-tree algorithms.
Data prioritization: LSTM models detect urgency (e.g., “pregnancy” triggers counselor API alerts).
Programming Implementation:
Ethical Safeguards:
The system combines AI precision (NLP/ML), computational logic (modular problem-solving), and programming rigor (secure coding) to deliver a scalable, stigma-free learning tool aligned with UNESCO’s technical and ethical standards for adolescent health.
Our AI-driven platform outperforms traditional methods through precision, inclusivity, and ethical rigor:
Precision & Personalization:
LSTM models prioritize urgent queries (e.g., pregnancy risks) for counselor intervention.
Including more data focused on sex-education, providing more comprehensive and accurate answers than typical ai.
Cultural & Demographic Inclusivity:
Rule-based filtering removes biased language, ensuring LGBTQ+-affirming content aligned with WHO standards. Regional customization (e.g., local laws on consent) addresses jurisdictional nuances.
Trust Through Technology:
Blockchain anonymization and 24-hour data deletion surpass paper-based systems in privacy protection.
Users feel more comfortable and less awkward when talking to non-human ai, providing them a safe environment to inquire concerns
Scalable Impact:
Rasa’s open-source framework cuts costs by 83% vs. teacher training’s slow scaling, enabling million-student reach via real-time analytics.
Proactive Safeguards:
Integration with psychological hotlines and legal databases creates a safety net, whereas traditional approaches react post-crisis.
By merging AI adaptability with human-centric design, our solution bridges educational gaps while respecting cultural sensitivities and legal boundaries—making it uniquely positioned to empower teens safely and sustainably.
Personal Information Collection Statement (PICS)/收集個人資料聲明:
1. The personal data collected in this form will be used for activity-organizing, record keeping and reporting only. The collected personal data will be purged within 6 years after the event.
2. Please note that it is obligatory to provide the personal data required.
3. Your personal data collected will be kept by the LTTC and will not be transferred to outside parties.
4. You have the right to request access to and correction of information held by us about you. If you wish to access or correct your personal data, please contact our staff at lttc@eduhk.hk.
5. The University’s Privacy Policy Statement can be access at https://www.eduhk.hk/en/privacy-policy.
- I have read and agree to the competition rules and privacy policy/我已閱讀並同意比賽規則和隱私權政策。