Streamlit App Development for ML Models
Budget: ₹1,500 – ₹12,500 INR
I need a Streamlit application that integrates two of my pre-trained machine learning models - one for Osteoporosis prediction and another for Bone Age prediction. The latter model may require some troubleshooting.
Project Details:
- The app should allow users to upload data (potentially images or other formats).
- Predictions from both models should be accessible separately.
- Results need to be presented in both text and visual formats, necessitating the use of charts and graphs.
Your Role:
- Debug and fix any issues with the Bone Age model.
- Develop a user-friendly, efficient Streamlit app.
- Ensure a smooth deployment process and provide comprehensive documentation.
Ideal Candidate:
- Proficient in Python and Streamlit.
- Experienced in Machine Learning and model deployment.
- Familiar with TensorFlow/PyTorch and Scikit-learn.
- Able to navigate and utilize Jupyter Notebooks effectively.
Deliverables:
- A fully functional Streamlit app.
- Well-documented source code.
- Support with deployment if necessary.
Budget: 4000 INR
Deadline: 20/03/2003
Project Details:
- The app should allow users to upload data (potentially images or other formats).
- Predictions from both models should be accessible separately.
- Results need to be presented in both text and visual formats, necessitating the use of charts and graphs.
Your Role:
- Debug and fix any issues with the Bone Age model.
- Develop a user-friendly, efficient Streamlit app.
- Ensure a smooth deployment process and provide comprehensive documentation.
Ideal Candidate:
- Proficient in Python and Streamlit.
- Experienced in Machine Learning and model deployment.
- Familiar with TensorFlow/PyTorch and Scikit-learn.
- Able to navigate and utilize Jupyter Notebooks effectively.
Deliverables:
- A fully functional Streamlit app.
- Well-documented source code.
- Support with deployment if necessary.
Budget: 4000 INR
Deadline: 20/03/2003