Developed by Nikhil Shimpy, Harsh Vardhan Hatiya, Palak Paithari , Chetna Sikarwar

MediPulse-AI is an intelligent healthcare assistant that enables users to discover nearby hospitals, analyze skin conditions from images, interpret report PDFs, and receive instant support from an AI-powered chatbot—all through a unified web platform.

• Nikhil Shimpy – @NikhilShimpy
• Harsh Vardhan – @Harsh147v
• Palak Paithari – @palakpaithari
• Chetna Sikarwar – @chetnasingh31

• 🌍 Geo-Located Hospital Discovery

  • Real-time mapping of nearby hospitals
  • Filter by distance range and emergency status

• 🧠 AI Dermatology Scanner

  • Analyze skin images for 58+ conditions
  • 94% accuracy for acne detection

• 🧪 Blood Report AI Analyzer

  • Upload lab report PDFs for automatic interpretation
  • Highlights critical values and explains medical terms

• 💬 Chatbot Support

  • NLP-based chatbot answers health-related queries
  • Offers personalized, next-step guidance

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Python, Flask
• Database: SQLite
• AI/ML: TensorFlow, Keras, scikit-learn, OpenCV
• Libraries & APIs: geopy, Google Maps API, PyMuPDF, Natural Language Toolkit (NLTK)
• Deployment: GitHub Pages / Render / Replit

# 1. Clone the repository
git clone https://github.com/NikhilShimpy/MediPulse-AI.git
cd MediPulse-AI

# 2. Set up virtual environment (optional but recommended)
python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate
or
source venv310/bin/activate  # On Windows use: venv\Scripts\activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Run the Flask app
python app.py

• 🌐 GitHub Repository
• 📹 Demo Video
• 💼 LinkedIn Post

This project is licensed under the MIT License - see the LICENSE file for details.

Nikhil Shimpy

• 💼 LinkedIn
• 🐙 GitHub
• 📸 Instagram
• 🔗 LinkTree