Portfolio Case Study · AI & Automation
An AI Customer-Engagement Chatbot Powered by OpenAI & Gemini
Always-on automated support and engagement — multi-model, cost-metered, and built to run for many customers at once.
Summary: AbedinTech built an AI customer support chatbot for automated engagement, using both OpenAI and Gemini so responses aren’t tied to a single model. Delivered on a Django platform, it comes with the production essentials: multi-tenant accounts, token-usage metering with plan limits, per-user analytics, and admin controls — automated conversations that stay helpful and cost-controlled at scale.
Project at a Glance
| Project type | Conversational AI · customer engagement & support |
| Platform | Django web application |
| AI models | OpenAI and Google Gemini |
| Focus | Automated support, cost control, multi-tenant delivery |
| Outcome | An always-on chatbot with metering, analytics, and admin control |
The Challenge
A chatbot demo is easy; a dependable support assistant you can put in front of real customers is not:
Automated support only works if the responses are actually useful and consistent with the business’s voice.
A chatbot that talks all day burns tokens. Usage has to be tracked and capped per account to protect margins.
Relying on a single provider risks outages, price changes, and quality drift. Multi-model support is insurance.
The Solution
Multi-model conversational AI
The chatbot answers using either OpenAI or Gemini, so the business isn’t locked to one provider and can route for quality or cost.
Token metering & plan limits
Every conversation’s token use is tracked per account and enforced against plan limits, keeping support costs predictable.
Multi-tenant delivery
Built so one platform can serve many customers, each with isolated accounts, usage, and settings.
Analytics & admin control
Per-user analytics show usage and engagement, while an admin panel manages plans, API keys, and access.
Architecture & Engineering
The chatbot runs on a Django platform with role-based access and a token-accounting layer that spans both OpenAI and Gemini, feeding analytics and plan enforcement. A dual API-key model lets administrators provision keys centrally or let customers bring their own — the same engineering foundation that powers AbedinTech’s broader AI automation platform, focused here on conversational support.
Results & Impact
Technology Stack
Want an AI chatbot for your business?
AbedinTech builds AI chatbots and support assistants with metering, analytics, and multi-model flexibility. Get a proposal.
Frequently Asked Questions
What can an AI customer support chatbot do?
It can answer customer questions instantly around the clock, handle routine support conversations, and engage visitors — reducing load on human agents. This one uses both OpenAI and Gemini and runs on a multi-tenant platform with usage metering and analytics.
Why use both OpenAI and Gemini?
Supporting multiple models avoids single-vendor lock-in — it provides resilience against outages, flexibility on cost and quality, and the ability to route requests to whichever model fits best.
Can AbedinTech build a custom AI chatbot for my business?
Yes. AbedinTech builds AI chatbots and support assistants with multi-model AI, token metering, per-account analytics, and admin controls — tailored to your product and brand voice.