Building a Production AI Chatbot for an Educational Institute: Architecture, Lessons & Full Stack Deep-Dive
An AI chatbot platform was developed for IFDA, an educational institute in India, to enhance admissions processes. The chatbot addresses common inquiries, captures leads, and schedules appointments, all while integrating with WhatsApp. The project utilized a Next.js framework and a hybrid architecture combining scripted flows with AI capabilities.
- ▪The chatbot handles course discovery, lead capture, and appointment scheduling.
- ▪It is built on a Next.js 14 App Router monorepo with a Neon PostgreSQL backend.
- ▪The architecture includes a hybrid approach using both scripted logic and AI for responses.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 744637) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } nitin7414 Posted on May 23 Building a Production AI Chatbot for an Educational Institute: Architecture, Lessons & Full Stack Deep-Dive #nextjs #ai #webdev #api TL;DR: I built a full-stack AI chatbot platform for IFDA, an Indian educational institute. It handles course discovery, lead capture, appointment scheduling, WhatsApp messaging, and comes with a complete admin CRM — all deployed on Vercel with a Neon PostgreSQL backend.
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