The problem
A conversational interface can make reference information easier to explore, but health-related answers need clear limits and careful sourcing.
EPS.
PREPARING THE EXPERIENCE
All projectsHealth Assistance AI
EPSINGH. / CASE FILE
AI / 2025 / SOURCE ONLY
Health Assistance AI
A learning project exploring retrieval-augmented answers.
An AI-assisted health and nutrition project that calculates BMI, BMR and calorie estimates, and explores a retrieval-augmented chatbot workflow.
EPSINGH. / CASE FILEMY ROLE
Python/AI project development and experimentation.
PROJECT STATUS
Source only — no live demo confirmed
TECHNOLOGY
PythonRAGLLM APIsVector search
CASE STUDY / OVERVIEW
The why
behind the work.
Case studies explain the design and implementation choices. They do not imply unmeasured traffic, conversion or business outcomes.
Approach & decisions
- Combine calculation utilities with an information-retrieval experiment.
- Treat answers as informational rather than medical diagnosis.
- Keep project status clear: this entry links to source code, not a verified public demo.
What the project includes
- BMI/BMR and calorie estimation concepts
- Retrieval-augmented question answering experiment
- Python-based AI learning
What I learned
AI applications need evaluation, citations, guardrails, and clear scope in addition to a working model call.
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