File size: 3,123 Bytes
827e494
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
import streamlit as st
import google.generativeai as genai
from dotenv import load_dotenv
import os

# Load environment variables
load_dotenv()

# Configure Gemini
genai.configure(api_key=os.getenv("GEMINI_API_KEY"))
model = genai.GenerativeModel('gemini-pro')

def main():
    st.title("JEE SOCA Analysis System πŸš€")
    st.subheader("AI-Powered Skill Assessment for JEE Aspirants")

    with st.form("student_form"):
        st.header("Student Questionnaire")
        
        # Subject Knowledge
        st.subheader("πŸ“š Subject Knowledge")
        math_score = st.slider("Mathematics Proficiency (1-10)", 1, 10)
        physics_score = st.slider("Physics Proficiency (1-10)", 1, 10)
        chemistry_score = st.slider("Chemistry Proficiency (1-10)", 1, 10)
        
        # Study Habits
        st.subheader("⏰ Study Habits")
        study_hours = st.number_input("Daily Study Hours", min_value=0, max_value=16)
        time_management = st.select_slider("Time Management Skills", 
                                         options=["Poor", "Average", "Good", "Excellent"])
        
        # Problem Solving
        st.subheader("πŸ” Problem Solving")
        problem_approach = st.radio("Preferred Problem Solving Approach",
                                  ("Conceptual Understanding", 
                                   "Formula Memorization", 
                                   "Practice Problems"))
        
        # Stress Management
        st.subheader("🧘 Stress Management")
        stress_level = st.select_slider("Stress Level", 
                                      options=["Very Low", "Low", "Moderate", "High", "Very High"])
        
        # Submission
        submitted = st.form_submit_button("Generate SOCA Analysis")
        
        if submitted:
            with st.spinner("Analyzing responses..."):
                # Prepare prompt
                prompt = f"""Analyze this JEE student's profile and create a SOCA analysis:
                Subject Scores:
                - Mathematics: {math_score}/10
                - Physics: {physics_score}/10
                - Chemistry: {chemistry_score}/10
                
                Study Habits:
                - Daily Study Hours: {study_hours}
                - Time Management: {time_management}
                
                Problem Solving:
                - Approach: {problem_approach}
                
                Stress Management:
                - Stress Level: {stress_level}
                
                Provide the analysis in this format:
                **Strengths:** [Identify 3 key strengths]
                **Opportunities:** [Suggest 3 improvement areas]
                **Challenges:** [List 3 main challenges]
                **Action Plan:** [Create 4 actionable steps]
                """
                
                # Get Gemini response
                response = model.generate_content(prompt)
                
                # Display analysis
                st.subheader("SOCA Analysis Report")
                st.markdown(response.text)

if __name__ == "__main__":
    main()