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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Student-Employability-Datasets.xlsx filter=lfs diff=lfs merge=lfs -text

Student-Employability-Datasets.xlsx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6b180ff29985362e242ff68e68b6046f6dc78a7e2cc85eae587ba43ff8bba44d
+size 138468

app (1).py

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+import gradio as gr
+import pandas as pd
+
+# Function to assess employability
+def assess_employability(name, email, communication, problem_solving, teamwork, adaptability, appearance, speaking, alertness, presentation):
+    score = (communication + problem_solving + teamwork + adaptability + appearance + speaking + alertness + presentation) / 8
+    
+    if score >= 7:
+        message = f" {name}, you're highly employable! Keep pushing forward! 🚀"
+    elif score >= 5:
+        message = f" {name}, you have potential! Work on improving and you'll be there soon! ✨"
+    else:
+        message = f" {name}, you might need to enhance your skills. Keep learning and improving! 📚"
+    
+    return message
+
+# Gradio UI
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("##  **Employability Skill Checker** ")
+    gr.Markdown("### Drag the sliders to rate your skills!")
+
+    name = gr.Textbox(label="Enter Your Name", placeholder="Type your name here...")
+    email = gr.Textbox(label="Enter Your Email", placeholder="Type your email here...")
+    
+    communication = gr.Slider(1, 10, label=" Communication Skills")
+    problem_solving = gr.Slider(1, 10, label=" Problem-Solving Skills")
+    teamwork = gr.Slider(1, 10, label=" Teamwork Ability")
+    adaptability = gr.Slider(1, 10, label=" Adaptability to Changes")
+    appearance = gr.Slider(1, 10, label=" General Appearance")
+    speaking = gr.Slider(1, 10, label="Manner of Speaking")
+    alertness = gr.Slider(1, 10, label=" Mental Alertness")
+    presentation = gr.Slider(1, 10, label=" Ability to Present Ideas")
+  
+    submit_btn = gr.Button(" Check Employability ")
+    output = gr.Textbox(label="Result", interactive=False)
+
+    submit_btn.click(assess_employability, inputs=[name, email, communication, problem_solving, teamwork, adaptability, appearance, speaking, alertness, presentation], outputs=output)
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()
+

requirements%20%281%29.txt

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+gradio
+pandas
+