SeenAI is a custom AI model designed to assist UX researchers in analyzing user data and optimizing user experiences. This project aims to leverage machine learning techniques to provide valuable insights and recommendations for improving the overall user experience.
- Automated analysis of user surveys, interviews, and interaction logs
- User segmentation and behavior modeling
- Sentiment analysis and user experience scoring
- Predictive analytics for user behavior and engagement
- Clone the repository:
git clone https://github.com/your-username/seenai.git - Install the required dependencies:
pip install -r requirements.txt - Prepare your UX research data and place it in the
data/rawdirectory. - Run the preprocessing script:
python preprocessing.py - Train the SeenAI model:
python train.py - Evaluate the model's performance:
python evaluate.py - Integrate the SeenAI model into your UX research workflow.
We welcome contributions to the SeenAI project. If you'd like to contribute, please follow the guidelines outlined in the CONTRIBUTING.md file.
This project is licensed under the MIT License.