Update 6

algo.py

@@ -1,12 +1,12 @@
 
 description="""
 <h2>Purpose</h2>
-<p>This application is a Hearing Health Risk Assessment Tool. It uses a Lasso regression model trained on a dataset of hearing health indicators to predict the risk of hearing loss.
+<p>This application is a Predictive Model developed for finding severity of hearing Loss in children. It uses a Lasso regression model trained on a dataset of hearing health indicators to predict the risk of hearing loss.
 The model achieved an accuracy of 87 percent accuracy during testing.
 The tool takes various inputs such as age, gender, and specific health indicators, and provides a risk assessment and recommendation based on the model's prediction.</p>
 
 <h2>Developed by</h2>
-<p>The project was led by Principal Investigator <b>Dr. Kanipakam Sunitha,</b> Assistant Professor at the Dept. of Law, SPMVV, Tirupati, and Co-Principal Investigator <b>Dr. N.V. Muthu Lakshmi,</b> Assistant Professor at the same institution. The project received financial support from the DST-CURIE-AI Center.</p>
+<p>The project was led by Principal Investigator <b>Dr. Kanipakam Sunitha,</b> Assistant Professor, Dept. of Law, SPMVV, Tirupati, and Co-Principal Investigator <b>Dr. N.V. Muthu Lakshmi,</b> Assistant Professor, Dept. of Computer Science, SPMVV, Tirupati. The project received financial support from the DST-CURIE-AI Center, SPMVV, Tirupati.</p>
 
 <h2>Description</h2>
 <p>The data set was collected from the children who are suffering from hearing impaired  and taking training at special school. Children are from different  areas of Andhra Pradesh and Telangana.</p>
@@ -14,6 +14,8 @@ The tool takes various inputs such as age, gender, and specific health indicator
 
 <p>The tool is designed to be user-friendly, with a simple interface for inputting information and receiving the risk assessment and recommendations. It serves as a valuable resource for assessing hearing health risks and taking necessary precautions or treatments. However, it's important to consult with a healthcare professional for a comprehensive evaluation. This tool is intended to supplement, not replace, professional medical advice.</p>
 <hr>
+
+<h2>A Predictive Model to Find Hearing Loss in Children Using Machine Learning Algorithms</h2>
 """
 
 
@@ -36,5 +38,5 @@ If our work is beneficial for your research, please consider citing:
 
 📧 Get in Touch
 <br> 
-If you have any queries, please feel free to contact Venkata Viswanath at <b>varun.codeq@gmail.com</b>.
+If you have any queries, please feel free to contact Dr.N.V.Muthu Lakshmi at <b> nvmuthulakshmi@gmail.com </b>.
 """

app.py

@@ -67,12 +67,12 @@ interface = gr.Interface(
         gr.Number(label="Age"),
         gr.Radio(['Male', 'Female'], label="Gender"),
         gr.Radio(['Poor', 'BPL', 'Middle Class', 'Upper Class'], label="Economic Status"),
-        gr.Radio(['Yes', 'No'], label="Any Known Genetic Hearing Loss in Family"),
+        gr.Radio(['Yes', 'No'], label="Any Known Genetic Hearing Loss in Family?"),
         gr.Radio(['Yes', 'No'], label="Is the parent marriage a Consanguineous Marriage?"),
-        gr.Radio(['Yes', 'No'], label="Any Prenatal Problems Leading to Hearing Loss"),
-        gr.Radio(['Yes', 'No'], label="Any Postnatal Problems Leading to Hearing Loss"),
-        gr.Radio(['Yes', 'No'], label="Any Complications During Birth Leading to Hearing Loss"),
-        gr.Radio(['Yes', 'No'], label="Any Siblings with Hearing Problems"),
+        gr.Radio(['Yes', 'No'], label="Any Prenatal Problems?"),
+        gr.Radio(['Yes', 'No'], label="Any Postnatal Problems?"),
+        gr.Radio(['Yes', 'No'], label="Any Complications During Birth?"),
+        gr.Radio(['Yes', 'No'], label="Any Siblings with Hearing Problems?"),
         gr.Number(label="Left Ear Hearing Loss Severity (in dB)"),
         gr.Number(label="Right Ear Hearing Loss Severity (in dB)")
     ],