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Inspiration
Businesses of all sizes struggle with providing fast, reliable customer support without hiring large teams or outsourcing. Many existing chatbot solutions are either too expensive, too generic, or too technical to set up. We wanted to create something that empowers businesses to easily build and configure their own AI-powered customer support agent—one that speaks in their brand voice and learns from their own resources.
What it does
EchoDesk is a self-service platform that allows businesses to:
Create & configure their own AI chatbot without coding.
Upload FAQs, documents, or website links to teach the chatbot.
Customize the chatbot’s tone and personality to match their brand.
Deploy it instantly on their website, app, or customer portal.
The result: customers get instant answers 24/7, while businesses save time, reduce costs, and improve customer satisfaction.
How we built it
Frontend: React + Tailwind for a clean, intuitive dashboard where businesses configure their chatbot.
Backend: Node.js/Express with a REST API to handle onboarding, configuration, and chatbot requests.
AI Engine: Integrated with a Large Language Model (LLM) for conversational intelligence, plus embeddings for retrieving business-specific knowledge.
Database: Stores chatbot configurations, business profiles, and conversation logs securely.
Deployment: Hosted backend on Render, frontend on Netlify for fast and scalable access.
Challenges we ran into
Knowledge injection: Ensuring the chatbot could reliably use business-specific information instead of “hallucinating.”
User experience: Making the configuration process easy for non-technical business owners.
Integration: Connecting the AI model with real-time business data in a seamless, cost-efficient way.
Deployment quirks: Debugging environment variables and CORS issues while hosting across multiple platforms. Lack of sleep.
Accomplishments that we're proud of
Built a working prototype in just a few days that lets users configure and deploy a chatbot.
Designed a clean, modern UI that feels approachable to business owners.
Solved the challenge of letting AI adapt to different brand voices through customizable settings.
Demonstrated how AI can directly improve business efficiency by reducing customer support burden.
What we learned
How to integrate LLMs into real-world business use cases.
The importance of UX design when introducing AI tools to non-technical users.
How to balance AI creativity with reliability by grounding responses in real business data.
The tradeoffs between speed of development vs. scalability in a hackathon setting.
What's next for EchoDesk
Add multi-channel support (integrate with WhatsApp, Messenger, and email).
Build a drag-and-drop conversation flow editor for even more customization.
Expand analytics: track customer satisfaction, common questions, and support cost savings.
Create a marketplace of templates (e.g., for e-commerce, SaaS, healthcare) so businesses can get started even faster.
Offer a subscription-based SaaS model to help businesses scale affordably.
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