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| # Hours Studied Previous Scores Extracurricular Activities Sleep Hours Sample Question Papers Practiced Performance Index\ | |
| import numpy as np | |
| import joblib | |
| import streamlit as st | |
| # Load the trained model | |
| model = joblib.load("student_performance_model.h5") | |
| def predict_marks(Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question): | |
| "predict the student marks based on the input data" | |
| input_data = np.array([[Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question]]) | |
| prediction= model.predict(input_data) | |
| return round(float(prediction),2) | |
| def main(): | |
| st.title("Student Marks Predictor") | |
| #Input data | |
| name = st.text_input("Enter your name") | |
| Hours_studied = st.number_input("Enter the number of Hours you Studied", min_value=0.0,max_value=20.0,value=0.0) | |
| Previous_Score = st.number_input("Enter your Previous exam Score", min_value=0,max_value=100,value=0) | |
| Extracurriculum_Activivities = st.number_input("Enter the number extracurriculum activities you have done",min_value=0,max_value=10,value=0) | |
| Sleep_Hours = st.number_input("Enter the number of hours you slept",min_value=0.0,max_value=12.0,value=0.0) | |
| Sample_Question = st.number_input("Enter the number of Sample Question you have practiced",min_value=0,max_value=50,value=0) | |
| # predict | |
| st.sidebar.write(f"# hi {name}") | |
| st.sidebar.write("##### i am a helpful students marks predictor here to assist you in predicting your marks") | |
| if st.button("Predict"): | |
| prediction = predict_marks(Hours_studied,Previous_Score,Extracurriculum_Activivities,Sleep_Hours,Sample_Question) | |
| # Display the predictions | |
| if prediction >=90: | |
| st.success(f"{name} You have a high chances of passing with the the exceptional marks of {prediction} marks keep it up") | |
| elif prediction >=35: | |
| st.success(f"{name} You have chances of Passing with {prediction} marks try to get 90+") | |
| else: | |
| st.error(f"{name} You have a very high chances of failing") | |
| if __name__=="__main__": | |
| main() | |