You will get Smart Healthcare Appointment System with Chatbot & Full Backend
Rising Talent
Project details
I will develop a complete AI-powered Hospital Appointment Management System that helps hospitals, clinics, and healthcare organizations automate their scheduling and patient interaction processes.
This system combines an intelligent AI chatbot, RAG (Retrieval-Augmented Generation) for FAQs, and a full backend management panel for doctors and administrators. Patients can easily book, cancel, or check appointments through the chatbot, while staff can manage everything from a secure dashboard.
It includes Twilio integration for call handling, appointment reminders, and notifications, along with PDF report generation and print functionality for appointment records.
This project is designed for clients looking for a ready-to-deploy, AI-enabled healthcare management solution with both front-end and back-end automation.
#healthcare
#hospitalmanagementsystem
#appiontmentschedullingsystem
#appointment
#chatbot
#aichatbot
#ragsystem
#twilio
#vapi
This system combines an intelligent AI chatbot, RAG (Retrieval-Augmented Generation) for FAQs, and a full backend management panel for doctors and administrators. Patients can easily book, cancel, or check appointments through the chatbot, while staff can manage everything from a secure dashboard.
It includes Twilio integration for call handling, appointment reminders, and notifications, along with PDF report generation and print functionality for appointment records.
This project is designed for clients looking for a ready-to-deploy, AI-enabled healthcare management solution with both front-end and back-end automation.
#healthcare
#hospitalmanagementsystem
#appiontmentschedullingsystem
#appointment
#chatbot
#aichatbot
#ragsystem
#twilio
#vapi
Programming Languages
PythonWhat's included $150
These options are included with the project scope.
$150
- Delivery Time 3 days
- Number of Revisions 5
- Number of Pages 10
- Design Customization
- Content Upload
- Responsive Design
- Source Code
Frequently asked questions
About Waqar
Agentic AI | AI Chatbots | n8n | Generative AI RAG Enginer | ML Expert
Gujranwala, Pakistan - 8:28 pm local time
With 2+ years of experience, I build intelligent, production-ready AI systems that combine LLMs, real-time data, and workflow automation.
✅ What I Can Do for You
Build RAG pipelines and document Q&A chatbots
Develop voice AI agents and AI appointment booking systems
Create SaaS AI applications and interactive dashboards using HTML, CSS, JavaScript, React, Streamlit
Design end-to-end AI workflows using LangChain, LangGraph, CrewAI, LlamaIndex, and models from OpenAI, Gemini, Anthropic, plus open-source LLMs
I also build voice-enabled AI tools with:
OpenAI — Whisper, TTS/STT
Google — Speech-to-Text, Text-to-Speech, Vertex AI
Microsoft Azure — Cognitive Services, Azure OpenAI, Speech SDK
Amazon AWS — Transcribe, Polly, Rekognition, Bedrock
Meta — Llama, SeamlessM4T, Audiocraft, Detectron
✅ Automation & Data Pipelines
Automate data pipelines using n8n for no-code/low-code workflows and Python libraries such as Pandas, Airflow, Prefect, integrating APIs, CRMs, Google Sheets, and Telegram.
Build AI-powered chatbots, email automation, and data-management automation leveraging Python, LangChain, LlamaIndex, and n8n workflows.
Deploy end-to-end solutions on AWS, GCP, Heroku, Docker, combining Python-based scripts with n8n automation for scalable, real-world applications.
✅ Tech Stack
LLMs & AI Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, Hugging Face, OpenAI, Gemini
NLP Expertise: Document understanding, semantic search, chatbots, customer support automation, RAG applications
Vector Databases: FAISS, Pinecone, Qdrant, Weaviate, Milvus, Chroma, Redis Vector, Elastic Vector Search, Vespa, Vald
Backend: Python, FastAPI, Flask
Frontend: HTML, CSS, JavaScript, Bootstrap, React, Streamlit
Databases: MySQL, PostgreSQL, SQLite
Automation & Integration: n8n, REST APIs, Webhooks
Cloud & DevOps: Docker, AWS, GCP, Heroku
✅ What I Can Deliver
AI chatbots answering directly from your company documents
Smart RAG-based knowledge assistants
Email automation & AI workflow systems
AI Agents and SaaS AI applications
AI Voice Agents (Twilio or VAPI)
AI-based appointment booking and management systems
Fully automated workflows powered by AI & n8n
ML/NLP applications deployed to the cloud
Steps for completing your project
After purchasing the project, send requirements so Waqar can start the project.
Delivery time starts when Waqar receives requirements from you.
Waqar works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirement Gathering
After you place the order, I will collect all necessary information to customize the system for your hospital or clinic. This includes: Doctor list and available schedules FAQ or information for chatbot and RAG setup Twilio API credentials