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)