Wellness Companion Tracker

Diamond AI Agents Hackathon
Chhavi • Dietitian, Diabetes Educator and PCOS Reversal COach
Tools: ChatGPT
Description: Custom GPT – Wellness Companion Tracker, specially designed with the lens of a clinical dietitian-grade BMI assistant (PhD-level tone).

Detailed Description

Excited to share my Custom GPT – Wellness Companion Tracker, specially designed with the lens of a clinical dietitian-grade BMI assistant (PhD-level tone).

It:
✅ Calculates BMI
✅ Interprets it using WHO + South Asian-specific cutoffs
✅ Lists evidence-based health risks
✅ Suggests relevant investigations
✅ Highlights likely contributing factors
✅ Recommends research-backed lifestyle changes
✅ Gives clinically sound referral guidance

All responses are crafted in a professional, informative tone — ideal for those looking for more than just generic tips. (Not a substitute for medical diagnosis, of course!)

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Submission Review & Analysis

✨ Summary: The Wellness Companion Tracker is a Custom GPT designed to provide clinical-grade BMI assessments and lifestyle recommendations tailored for users, particularly in the South Asian context. 💪 Strengths: ✅ Offers precise BMI calculations and interpretations based on WHO and regional standards. ✅ Provides evidence-based health risk assessments and lifestyle change recommendations. ✅ Maintains a professional tone suitable for users seeking in-depth health guidance. ✅ Includes referral guidance, enhancing its utility for users needing further assistance. 🧑‍💻 Gaps / Risks: ✅ Lacks a demo URL, limiting the ability to evaluate the user experience and functionality. ✅ May not account for individual variations in health conditions, potentially leading to generic advice. ✅ The reliance on a clinical tone might alienate users seeking more accessible language. ✅ No clear mechanism for user feedback or updates based on evolving health guidelines. 🚀 Actionable Next Steps: ✅ Create a functional demo URL to showcase the tool's capabilities and user interface. ✅ Consider incorporating personalized user input to tailor recommendations more effectively. ✅ Simplify language in some areas to make the tool more approachable for a broader audience. ✅ Implement a feedback system to continuously improve the tool based on user experiences. ✅ Regularly update the health guidelines and recommendations to reflect the latest research findings.
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