Inspiration

In 2025, many small and rural businesses are moving online but they're overwhelmed by customer messages and queries they can't respond to fast enough. Most of them can't afford a support team, and don't know how to use complex tools. Missed queries, delayed responses, and customer drop-offs are common. I build an AI assistant that gives every small seller a helping hand, talks to customers for them, answers frequent questions, and asks for help only when needed. Because every entrepreneur deserves peace of mind - not burnout, without needing tech skills or expensive infrastructure.

What it does

AutoResolve.AI is like a calm, smart helper sitting in your store, replying to your customers.

  • Answers common questions like "Where is my order?", "What's your return policy?", etc.
  • Escalates tricky questions by saying "let me connect you to a human agent."
  • Works via simple API - easy to plug into WhatsApp bots, websites, and apps.
  • Built using free-tier tools: OpenRouter (for LLMs), FastAPI, and Render.

How we built it

  • Backend: FastAPI + Python that accepts user queries and returns smart replies.
  • Frontend: HTML + TailwindCSS + JS, clean and minimal
  • AI Brain: OpenRouter free model
  • Prompting: Friendly and polite tone.
  • Deployment: Hosted serverless via Render.

Challenges we ran into

  • Finding a free, reliable LLM (OpenAI quota ran out, OpenRouter saved us) .
  • Faced multiple deployment errors on platform Railway then switched to Render.
  • Debugging and testing without a frontend or fancy tools.
  • Nearly gave up after getting 502 errors again and again... but didn't.

Accomplishments that we're proud of

  • Deployed a working AI support system with real-time query handling.
  • Built a usable and a scalable solution without any paid services.
  • Modular design - can plug into any chat interface or website.
  • It's lightweight, costless and ready to help people who need it.

What we learned

  • How to deploy serverless APIs (FastAPI on Render).
  • How to work with OpenRouter.
  • How to work with TailwindCSS CLI
  • That simple solution win when they solve real pain and tech is most powerful when it's inclusive.
  • That patience, community docs, and late nights - worth it.

What's next for Autoresolve.ai

  • Add multi-language support.
  • Build a dashboard to track queries and performance.
  • Add WhatsApp or web bot interface for live business use.
  • Fine-tune the escalation logic with more realistic examples.
  • Add feedback loop to train/improve responses overtime.

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