Autify is a machine learning-powered web application designed to predict the likelihood of Autism Spectrum Disorder (ASD) based on behavioral and demographic inputs. With a focus on simplicity and curiosity, Autify offers an educational experience that demonstrates the power of data science for early detection.
- Intelligent Predictions: Provides autism likelihood through a user-friendly questionnaire.
- Data-Driven Insights: Trained on real-world behavioral data for meaningful results.
- Interactive Interface: Built with Streamlit for a clean and intuitive user experience.
- Visual Explanations: Displays feature importance to foster understanding.
- Flexible & Modular: A well-organized codebase that's easy to extend and adapt.
The app is powered by a diverse dataset, which includes:
- Demographic Details: Age, gender, ethnicity.
- Behavioral Indicators: Responses to key screening questions.
- Family History: Insights into genetic predispositions.
- AQ-10 Score: Autism screening assessment.
- Diagnostic Labels: Benchmark data for accuracy and evaluation.
⚠️ Disclaimer: This dataset is used solely for educational and experimental purposes and is not suitable for clinical use.
Autify integrates the following technologies for a robust and seamless experience:
- Python: Backbone for data processing and machine learning.
- Pandas: Efficient data manipulation.
- Scikit-learn: Reliable predictive modeling.
- Matplotlib & Seaborn: Stunning visualizations.
- Streamlit: Smooth and engaging interface.
- Jupyter Notebook: For data exploration and prototyping.