| import streamlit as st
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| import numpy as np
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| import joblib
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|
|
|
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| model=joblib.load("./models/models.pkl")
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| st.set_page_config(page_title="🎓Student Placement Prediction System",page_icon="🎓",layout="wide")
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|
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| st.markdown("<h1 style='text-align: center;background-color:darkblue; color: white;'>🎓Student Placement Prediction System</h1>",unsafe_allow_html=True)
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| st.markdown("---")
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| st.sidebar.header("Student Details")
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| gender=st.selectbox("Gender",["Male","Female"])
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| tenth_board=st.selectbox("10th Board",["CBSE","Diploma","ICSE","ISE","Other state Board","State Board","WBBSE"])
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| tenth_marks=st.number_input("10th marks")
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| twelfth_board=st.selectbox("12th Board",["CBSE","Diploma","ISE","Other state Board","State Board","WBCHSE"])
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| twelfth_marks=st.number_input("12th marks")
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| stream=st.selectbox("Stream",["Civil Engineering","Computer Science and Engineering","Computer Science in AIML","Electronics and Communication Engineering","Information Technology","Mechanical Engineering","Production Engineering"])
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| cgpa=st.number_input("Cgpa")
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| internship=st.selectbox("Internships(Y/N)",["Yes","No"])
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| training=st.selectbox("Training(Y/N)",["Yes","No"])
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| backlog=st.number_input("Backlog in 5th sem")
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| innovative_project=st.selectbox("Innovative Project(Y/N)",["Yes","No"])
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| communication=st.slider("Communication Skills",0,5)
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| Course=st.selectbox("Technical Course(Y/N)",["Yes","No"])
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|
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| st.markdown("📑Students Inputs Summary")
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| col1,col2,col3=st.columns(3)
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| col1.metric("10th Marks",tenth_marks)
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| col2.metric("12th Marks",twelfth_marks)
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| col3.metric("CGPA",cgpa)
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| st.markdown("---")
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| if st.button("Predict Placement"):
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| gender=1 if gender=="Male" else 0
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| tenth_board_encoded=["CBSE","Diploma","ICSE","ISE","Other state Board","State Board","WBBSE"].index(tenth_board)
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| twelfth_board_encoded=["CBSE","Diploma","ISE","Other state Board","State Board","WBCHSE"].index(twelfth_board)
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| stream_encoded=["Civil Engineering","Computer Science and Engineering","Computer Science in AIML","Electronics and Communication Engineering","Information Technology","Mechanical Engineering","Production Engineering"].index(stream)
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| internship=1 if internship=="Yes" else 0
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| training=1 if training=="Yes" else 0
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| backlog=1 if backlog>0 else 0
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| innovative_project=1 if innovative_project=="Yes" else 0
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| courses=1 if Course=="Yes" else 0
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|
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| input_data=np.array([[gender,tenth_board_encoded,tenth_marks,twelfth_board_encoded,twelfth_marks,stream_encoded,cgpa,internship,training,backlog,innovative_project,communication,courses]])
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| prediction=model.predict(input_data)
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|
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| if prediction[0]==1:
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| st.success("🎉🎉Student will be placed")
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| st.balloons()
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| else:
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| st.error("❌😒Student will not be placed")
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| st.snow()
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|
