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.
Built With
- fastapi
- html
- javascript
- openrouterai
- python
- render
- tailwindcss
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