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MobTouch · Product

MyGut.io — AI health companion for IBD

AI-assisted health platform that helps people living with ulcerative colitis and other chronic digestive conditions capture daily reality, recognize patterns, and share a clearer picture with clinicians.

Role: Founder / Product engineer

The story

MyGut.io began as a deeply personal project. Someone I care about lives with ulcerative colitis, and managing the condition meant trying to reconstruct an incomplete story from scattered pieces of information: meals, medications, symptoms, bowel movements, pain, fatigue, possible triggers, and changes that happened days or weeks apart.

I built MyGut.io as an intelligent health companion for people living with inflammatory bowel disease and other chronic digestive conditions. Its goal is to help patients and caregivers capture what is happening each day, recognize patterns over time, and communicate a clearer, more complete picture to their healthcare providers.

Instead of requiring users to manually record every detail, MyGut.io is designed to make tracking feel natural — photograph a meal, describe symptoms conversationally, log a bowel movement, record medications, or simply explain how they are feeling. AI helps organize that information into a structured, longitudinal health record.

The platform brings meals, symptoms, medications, bowel activity, pain locations, and daily observations together in one place, transforming them into timelines, calendars, trends, and insights that help reveal meaningful changes over time.

MyGut.io is not intended to diagnose or replace medical professionals. Its purpose is to help people become better observers of their own health and give clinicians richer, more organized information for making informed decisions.

The long-term vision is a personalized health companion that understands each individual’s baseline, detects meaningful changes, helps prepare for medical appointments, and reduces the burden of managing a complex chronic illness.

Highlights

  • Built a unified daily health timeline combining meals, bowel movements, symptoms, medications, pain, energy, hydration, sleep, and contextual notes.
  • Shipped AI-powered photo meal logging that turns meal images into structured nutritional and ingredient records.
  • Designed conversational symptom capture so people can describe how they feel naturally instead of navigating rigid medical forms.
  • Implemented comprehensive bowel movement tracking covering frequency, consistency, urgency, blood, pain, mucus, and related observations.
  • Added medication tracking for maintenance therapies, biologics, steroids, supplements, dosage changes, and adherence.
  • Created an interactive body map for location, severity, and progression of pain or discomfort.
  • Built calendar/timeline views plus trend analysis correlating meals, symptoms, medications, bowel activity, and lifestyle factors.
  • Designed personalized flare scoring based on deviations from an individual’s baseline, plus AI-generated appointment summaries and shareable reports.
  • Modeled a structured symptom ontology and an intelligent question engine that asks personalized follow-ups instead of fixed questionnaires.
  • Applied safety-oriented triage messaging and AI guardrails that clearly separate tracking from diagnosis.
  • Architected the stack with Next.js, React, TypeScript, PostgreSQL, Drizzle ORM, secure auth, image pipelines, and cloud object storage.

AI throughout the experience

Artificial intelligence is woven through meal recognition, symptom extraction, follow-up questioning, summarization, and trend detection — coordinated with deterministic application logic so the experience stays reliable and explainable.

Baseline-aware, not one-size-fits-all

Insights are grounded in each person’s history. Flare scoring and trends emphasize meaningful change from an individual’s normal — not generic population thresholds.

Stack

GPT-5Multimodal AILangGraphTool callingStructured outputsNext.jsReactTypeScriptPostgreSQLDrizzle ORMCloud object storageSymptom ontologiesLongitudinal health recordsResponsible AI