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In the medical field, there are robots designed to assist with various tasks, including medication delivery. These robots can help provide medication to patients in the absence of a nurse or healthcare provider. They are equipped with hardware systems and AI algorithms to ensure accurate and efficient medication administration.

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Suraj7897/Medibot

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Medibot 🤖⚕️

An AI-powered robotic assistant for healthcare automation

📌 Overview

Medibot is an AI-integrated medical robot designed to automate medication dispensing, remote consultations, and patient monitoring. Equipped with IoT and AI-driven intelligence, Medibot bridges the gap between patients and healthcare professionals, ensuring accurate and efficient medical assistance even in the absence of a nurse or doctor.

This innovative system leverages Django for backend connectivity, a NodeMCU microcontroller for physical operations, and a web-based user interface to allow doctors to monitor, consult, and dispense medication remotely.

Medibot

🚀 How It Works

1️⃣ Web-Based Doctor Interface: Doctors can access Medibot remotely via an online portal.

2️⃣ Real-Time Communication: Medibot receives commands through a Django backend and transmits data to the cloud.

3️⃣ Pill Dispensing System: A NodeMCU microcontroller controls servo motors to dispense precise doses of medication.

4️⃣ Remote Consultation: Integrated video calling & chat features allow doctors to interact with patients.

5️⃣ AI-Based Monitoring: Medibot analyzes patient vitals and health data, enabling predictive healthcare decisions.

🔥 Key Features

Automated Medication Dispensing – Ensures timely and precise pill distribution.

Remote Patient Monitoring – Enables continuous tracking of vitals and symptoms.

AI-Based Health Analysis – Uses machine learning for diagnostics and treatment recommendations.

Telemedicine Integration – Facilitates video consultations between patients and doctors.

Secure Cloud Connectivity – Data is stored and accessed in real-time via IoT-enabled cloud servers.

🛠 Technologies Used

  • Hardware: NodeMCU (ESP8266), Servo Motors, Sensors (Temperature, IR, Camera)
  • Software: Django, Python, OpenCV, Flask, Firebase
  • Machine Learning Models: Image Recognition, Predictive Analytics
  • Communication Protocols: MQTT, HTTP, IoT Integration

🌟 Benefits & Impact

Improved Medication Adherence – Eliminates human errors in pill administration.

Time Efficiency for Healthcare Professionals – Reduces workload, allowing doctors to focus on critical cases.

Enhanced Patient-Doctor Interaction – Telemedicine capabilities ensure remote medical assistance anytime, anywhere.

Reduced Healthcare CostsAutomation minimizes errors, optimizes workflows, and improves hospital efficiency.

🎯 Objective

  • Enhancing Patient Care: AI-driven personalized treatment plans.
  • Remote Monitoring & Intervention: Real-time health tracking in remote areas.
  • Revolutionizing Medical Practices: Surgical precision, AI diagnostics, and rehabilitation automation.

📌 Installation & Setup

git clone https://github.com/yourusername/Medibot.git
cd Medibot
pip install -r requirements.txt
python manage.py runserver

📸 Screenshots / Demo

Medibot.2.mp4

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In the medical field, there are robots designed to assist with various tasks, including medication delivery. These robots can help provide medication to patients in the absence of a nurse or healthcare provider. They are equipped with hardware systems and AI algorithms to ensure accurate and efficient medication administration.

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