Welcome to DigiHealth – an innovative full-stack web application built to revolutionize healthcare diagnostics using Machine Learning and AI-driven chatbot support.
This capstone project was developed during my final semester at Bharath University, with a vision to bridge the gap between symptom analysis and accessible healthcare support. DigiHealth empowers users to receive preliminary disease predictions and interactive medical guidance from the comfort of their homes.
- 🧠 AI-Enabled Disease Prediction: Leverages 4 specialized ML/DL models trained on patient history and symptoms for accurate real-time disease diagnosis.
- 🤖 Interactive Chatbot Assistant: Integrated with Google Gemini Pro to simulate intelligent, conversational health assistance.
- 📊 High Accuracy: Delivered an average accuracy of 94% across various conditions using optimized feature selection and robust model evaluation.
- 🌐 Full-Stack Deployment: Built using Flask with modular templates, ensuring a seamless, responsive user experience.
- Languages: Python, HTML, CSS
- Libraries & Tools: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow
- Framework: Flask
- AI Services: Google Gemini Pro API
- Version Control: Git & GitHub
models/– Pre-trained ML/DL models for various prediction scenariosnotebooks/– Data preprocessing, feature engineering, and model training scriptstemplates/– Jinja-based HTML pages for the web interfacestatic/– CSS and image assets for frontend stylingapp.py– Main application file that integrates models, chatbot API, and frontend routes.env– API key and environment config for secure access
- Disease prediction based on 42 common symptoms
- Real-time results with probability metrics and visual insights
- AI Chatbot support for personalized symptom queries and medical FAQs
- Mobile-friendly, intuitive interface for better accessibility
- Hands-on model integration with a real-world web interface
- API consumption and secure environment variable handling
- Enhancing UX with responsive design and conversational UI
- Working in modular codebases for collaborative and scalable development
Hi 👋, I'm SYED IBRAHIM A – a B.Tech CSE Graduate (AI specialization, IBM Certified), passionate about building AI solutions that make a real-world impact. I'm actively looking for opportunities in:
- 🧑💻 Software Development
- 🤖 AI/ML & Data Analytics
- 🧪 QA & Technical Support
🌍 Location: Chennai (Open to Remote, Hybrid, On-site roles) 🔗 GitHub: @ibrahimcreator 🔗 LinkedIn: @ibrahimcreator
This project is licensed under the MIT License.
If you found this useful or want to collaborate, feel free to ⭐ this repo and reach out!