Update pages/0_Problem-Statement_and_Aim.py

pages/0_Problem-Statement_and_Aim.py

@@ -9,12 +9,12 @@ st.markdown("<h1 style='text-align:center; color:white;'>Problem Statement and A
 st.markdown("<h2 style='text-align:center;'>Analyzing and classifying the consumer electronics sales.</h2>", unsafe_allow_html=True)
 
 # Problem statement section with center alignment
-st.markdown("<h3 style='text-align:center;'>Problem Statement and Aim:</h3>", unsafe_allow_html=True)
+st.markdown("<h3>Problem Statement and Aim:</h3>", unsafe_allow_html=True)
 
 # Text explaining the problem
 st.markdown(
     """
-    <div style="text-align: center;">
+    <div>
         <p><b>Title:</b> Analyzing and predicting the electronics sales and consumer purchase intent Using Machine Learning</p>
         <p><b>Problem Statement:</b> Given a dataset of consumer electronics sales, which includes customer demographics, product details, and satisfaction metrics, can we develop a classification model that can accurately predict whether a customer intends to purchase a product or not?</p>
         <p><b>Aim for this project:</b> The goal of this project is to build a robust end-to-end machine learning pipeline to classify customer purchase intent using the provided features. The steps will include data preprocessing, exploratory data analysis (EDA), feature engineering, model training, and evaluation. The final goal is to achieve the highest possible accuracy and generalization on unseen data.</p>