Untitled

# Create the figure and axis for the table
fig, ax = plt.subplots(figsize=(12, 14))
ax.axis("off")  # Hide the axis

# Table data including headers
table_data = [
    ["Date", "Time", "Subject", "Topics"],
    ["March 14", "8:00 - 11:00 AM", "Biology", "Evolution (Darwin’s Theory, Human Evolution)"],
    ["March 14", "11:30 - 1:30 PM", "Biology", "Human Health & Disease (Immunity, AIDS, Cancer)"],
    ["March 14", "3:00 - 5:00 PM", "Biology", "Solve PYQs (Evolution & Health)"],
    ["March 14", "6:00 - 7:30 PM", "Painting", "Composition practice & color theory"],
    ["March 14", "8:00 - 9:30 PM", "Biology", "Quick revision & NCERT notes"],
    ["March 15", "8:00 - 11:00 AM", "Biology", "Strategies for Enhancement in Food Production"],
    ["March 15", "3:00 - 6:00 PM", "Painting", "Brushwork practice & detailing"],
    ["March 16", "8:00 - 11:00 AM", "Biology", "Solve a full-length Mock Test"],
    ["March 16", "3:00 - 7:00 PM", "Painting", "Final detailing & refinement"],
    ["March 17", "8:00 - 10:00 AM", "Biology", "Revise Diagrams & Key Formulas"],
    ["March 17", "10:00 AM - 6:00 PM", "Painting", "Final full practice"],
    ["March 18", "PAINTING EXAM", "No Biology", "Focus on Painting Exam"],
    ["March 19", "8:00 - 11:00 AM", "Biology", "Biotechnology - Principles & Processes"],
    ["March 20", "8:00 - 11:00 AM", "Biology", "Organisms & Populations"],
    ["March 21", "8:00 - 11:00 AM", "Biology", "Solve a Full Biology Mock Test"],
    ["March 22", "8:00 - 11:00 AM", "Biology", "Biodiversity & Conservation"],
    ["March 23", "8:00 - 11:00 AM", "Biology", "Revise Ecology & Environmental Issues"],
    ["March 24", "8:00 - 11:00 AM", "Biology", "Revise NCERT Line by Line"],
    ["March 25", "BIOLOGY EXAM", "Revise key notes", "Give your best!"],
]

# Create the table
table = ax.table(cellText=table_data, cellLoc="center", loc="center", colWidths=[0.15, 0.2, 0.2, 0.45])

# Style the table
table.auto_set_font_size(False)
table.set_fontsize(12)
table.auto_set_column_width([0, 1, 2, 3])

# Save as a JPEG image
image_path = "/mnt/data/CBSE_Study_Plan.jpg"
plt.savefig(image_path, format="jpeg", bbox_inches="tight", dpi=300)

# Return the image path
image_path