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| import os | |
| import streamlit as st | |
| import pandas as pd | |
| import requests | |
| # API Key for fetching mental health articles | |
| news_api_key = "fe1e6bcbbf384b3e9220a7a1138805e0" # Replace with your News API key | |
| def load_data(file): | |
| return pd.read_csv(file) | |
| def provide_observed_advice(data): | |
| """Generate detailed advice based on the user's data.""" | |
| advice = [] | |
| # Mental Health Advice | |
| if data['depression'] > 7 or data['anxiety_level'] > 7: | |
| advice.append( | |
| "You are experiencing high levels of depression or anxiety. It’s critical to prioritize your mental health. " | |
| "Please consider scheduling an appointment with a mental health professional. Additionally, practice mindfulness or meditation daily, " | |
| "engage in hobbies you enjoy, and spend time in nature to help reduce negative emotions." | |
| ) | |
| elif data['depression'] > 5 or data['anxiety_level'] > 5: | |
| advice.append( | |
| "You are showing moderate signs of depression or anxiety. Try incorporating regular physical activity into your routine, " | |
| "such as walking, yoga, or light exercise. Build a support system by reaching out to trusted friends or family members. " | |
| "Consider journaling your thoughts or keeping a gratitude diary to refocus your mind on positive aspects of your life." | |
| ) | |
| if data['stress_level'] > 7: | |
| advice.append( | |
| "High stress levels detected. Stress can negatively affect your physical and mental health. To manage stress effectively, " | |
| "practice relaxation techniques such as deep breathing, progressive muscle relaxation, or guided imagery. " | |
| "Identify your stressors and try to address them one by one. Seek professional counseling if stress becomes overwhelming." | |
| ) | |
| if data['mental_health_history'] > 5: | |
| advice.append( | |
| "Your mental health history indicates potential ongoing challenges. Consistent therapy or counseling might provide the support you need. " | |
| "Stay proactive in tracking your mood changes and avoid isolating yourself when you're feeling low." | |
| ) | |
| # Physical Health Advice | |
| if data['headache'] > 5: | |
| advice.append( | |
| "Frequent headaches reported. Ensure you’re staying hydrated and maintaining a balanced diet. Avoid prolonged screen time " | |
| "and practice proper posture to reduce physical strain. If headaches persist, consult a doctor to rule out underlying conditions." | |
| ) | |
| if data['blood_pressure'] > 5: | |
| advice.append( | |
| "Elevated blood pressure detected. Reduce your salt intake and focus on a heart-healthy diet rich in fruits, vegetables, and lean proteins. " | |
| "Engage in light exercises like walking or swimming, and monitor your blood pressure regularly. Consult a doctor for long-term management strategies." | |
| ) | |
| if data['sleep_quality'] < 5: | |
| advice.append( | |
| "Poor sleep quality reported. Establish a consistent bedtime routine, avoid caffeine and heavy meals before sleeping, and create a dark, quiet sleeping environment. " | |
| "Try relaxation techniques like reading or listening to soothing music before bed. Seek medical advice if sleep problems persist." | |
| ) | |
| if data['breathing_problem'] > 5: | |
| advice.append( | |
| "Breathing problems reported. If this is linked to allergies or asthma, ensure you’re avoiding triggers and using prescribed medications. " | |
| "Practice deep breathing exercises or try yoga to improve lung function. Consider consulting a pulmonologist for further evaluation." | |
| ) | |
| # Environmental and Social Advice | |
| if data['noise_level'] > 7: | |
| advice.append( | |
| "High noise levels detected in your environment. Use noise-canceling headphones or soundproofing techniques to create a quieter space. " | |
| "Spend some time in peaceful locations, such as parks or libraries, to recharge mentally." | |
| ) | |
| if data['living_conditions'] < 5 or data['safety'] < 5: | |
| advice.append( | |
| "Suboptimal living conditions or low safety levels detected. Seek resources or community support to improve your living environment. " | |
| "Consider reaching out to local authorities or organizations for assistance in addressing safety concerns." | |
| ) | |
| # Academic and Social Support Advice | |
| if data['study_load'] > 7: | |
| advice.append( | |
| "High academic workload reported. Create a detailed study plan to prioritize tasks and allocate sufficient time for breaks. " | |
| "Avoid multitasking and focus on one task at a time to improve efficiency. Consider seeking help from teachers or peers if you feel overwhelmed." | |
| ) | |
| if data['future_career_concerns'] > 7: | |
| advice.append( | |
| "High concerns about future career prospects detected. Break down your career goals into smaller, actionable steps. " | |
| "Research potential career paths, network with professionals, and consider attending career counseling for guidance." | |
| ) | |
| if data['social_support'] < 5: | |
| advice.append( | |
| "Low social support detected. Building meaningful connections can significantly improve your well-being. " | |
| "Join social groups, clubs, or community activities that align with your interests. Don’t hesitate to reach out to friends or family for emotional support." | |
| ) | |
| if data['peer_pressure'] > 7: | |
| advice.append( | |
| "High peer pressure detected. Stay true to your values and goals. Politely decline requests that make you uncomfortable, " | |
| "and remember that it's okay to say no. Surround yourself with individuals who respect your boundaries." | |
| ) | |
| if data['extracurricular_activities'] < 5: | |
| advice.append( | |
| "Low engagement in extracurricular activities detected. Participating in activities such as sports, arts, or volunteering can help you develop new skills, " | |
| "reduce stress, and expand your social circle. Consider trying out an activity that interests you." | |
| ) | |
| return advice | |
| def main(): | |
| st.set_page_config(page_title="Student Well-being Advisor", layout="wide") | |
| st.title("🔍 Analyze Your Well-being") | |
| # File uploader | |
| uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"]) | |
| if uploaded_file: | |
| df = load_data(uploaded_file) | |
| st.write("### Dataset Preview:") | |
| st.dataframe(df.head()) | |
| # Validate dataset columns | |
| required_columns = [ | |
| 'anxiety_level', 'self_esteem', 'mental_health_history', 'depression', | |
| 'headache', 'blood_pressure', 'sleep_quality', 'breathing_problem', | |
| 'noise_level', 'living_conditions', 'safety', 'basic_needs', | |
| 'academic_performance', 'study_load', 'teacher_student_relationship', | |
| 'future_career_concerns', 'social_support', 'peer_pressure', | |
| 'extracurricular_activities', 'bullying', 'stress_level' | |
| ] | |
| missing_columns = [col for col in required_columns if col not in df.columns] | |
| if missing_columns: | |
| st.error(f"The uploaded dataset is missing the following required columns: {', '.join(missing_columns)}") | |
| else: | |
| # Handle missing values in the dataset | |
| if df.isnull().values.any(): | |
| st.warning("The dataset contains missing values. Rows with missing values will be skipped.") | |
| df = df.dropna() | |
| st.markdown("### Select a Row for Analysis") | |
| selected_row = st.selectbox( | |
| "Select a row (based on index) to analyze:", | |
| options=df.index, | |
| format_func=lambda x: f"Row {x} - Depression: {df.loc[x, 'depression']}, Anxiety: {df.loc[x, 'anxiety_level']}, Stress: {df.loc[x, 'stress_level']}", | |
| ) | |
| # Extract data for the selected row | |
| row_data = df.loc[selected_row].to_dict() | |
| # Show extracted details | |
| st.write("### Selected User Details:") | |
| st.json(row_data) | |
| # Generate advice | |
| st.subheader("🔔 Personalized Advice") | |
| advice = provide_observed_advice(row_data) | |
| if advice: | |
| for i, tip in enumerate(advice, 1): | |
| st.write(f"📌 **{i}.** {tip}") | |
| else: | |
| st.warning("No specific advice available based on this user's data.") | |
| if __name__ == "__main__": | |
| main() | |