CadenceAI: Your AI-powered cycling companion 🚴🏻‍♀🤖️🚴‍♂

Did you know there are over 1 billion bicycles in the world? The cycling industry is entirely commoditised. However, helpful and personalised advice on training, repair and nutrition is out of reach for most people.

Introducing - Cadence AI, your all-in-one AI-powered cycling coach, mechanic, analyst and dietitian.

MVP1

• [x] General Q&A ("How of often should I change my chain?")
• [x] Bike component identifier ("What is this part? [insert image] It's called bottom bracket!")
• [x] BE: Deploy OSS LMM Zephyr into Cloud Run & App Runner

Features in progress

• [ ] FE: Deploy Anvil app to Compute Engine & EC2
• [ ] Anvil BE <-> FE app with text submission and response display
• [ ] Test e2e mobile usability and get early feedback

Contact

You can contact me for collaborations ideas at https://glukicov.github.io/

MVP2+ features backlog and ideas

• [ ] Price estimation ("How much would a new chain cost for my bike?")
  • [ ] Use LangChain/agents to retrieve and show online products
• [ ] Fine-tune the OSS LMM model (improve general Q&A)
• [ ] Use RAG with a database of common cycling questions and answers
  • [ ] vector search in BigQuery
• [ ] Caching for recently answered questions (consider safety)
• [ ] Defensive UX
• [ ] Analyse historical trends in my cycling data ("Plot of average cadence per week over the last year")
  • [ ] Use Strava API to retrieve athlete's data (one-off)
• [ ] Dashboards with all trends
  • [ ] Sync with athlete's Strava (can be a manual push/analyse request for now)