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student_placement

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Abid Ali Awan commited on Feb 16

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275e79c

1 Parent(s): 7775e43

Initial commit of Dockerized student placement app

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Files changed (7) hide show

Dockerfile +18 -0
app/app.py +61 -0
app/requirements.txt +8 -0
app/templates/index.html +57 -0
model_rf.joblib +3 -0
requirements.txt +8 -0
scaler.joblib +3 -0

Dockerfile ADDED Viewed

	@@ -0,0 +1,18 @@

+# Use an official Python runtime as a parent image
+FROM python:3.12-slim
+# Set the working directory in the container
+WORKDIR /app
+# Copy the requirements file and install dependencies
+COPY requirements.txt ./
+RUN pip install --upgrade pip && pip install -r requirements.txt
+# Copy the entire project
+COPY . .
+# Expose port (adjust as necessary)
+EXPOSE 5000
+# Command to run the Flask app
+CMD ["python", "app/app.py"]

app/app.py ADDED Viewed

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+from flask import Flask, request, render_template, jsonify
+import joblib
+import numpy as np
+app = Flask(__name__)
+# Load the trained model and scaler (update paths as necessary)
+model = joblib.load("model_rf.joblib")
+scaler = joblib.load("scaler.joblib")
+@app.route("/")
+def home():
+    return render_template("index.html")
+@app.route("/predict", methods=["POST"])
+def predict():
+    try:
+        # Expecting form data from the HTML template
+        CGPA = float(request.form.get("CGPA"))
+        Internships = int(request.form.get("Internships"))
+        Projects = int(request.form.get("Projects"))
+        Workshops_Certifications = int(request.form.get("Workshops_Certifications"))
+        AptitudeTestScore = float(request.form.get("AptitudeTestScore"))
+        SoftSkillRating = float(request.form.get("SoftSkillRating"))
+        ExtracurricularActivities = request.form.get("ExtracurricularActivities")
+        PlacementTraining = request.form.get("PlacementTraining")
+        SSC_Marks = float(request.form.get("SSC_Marks"))
+        HSC_Marks = float(request.form.get("HSC_Marks"))
+        # Convert categorical fields to numerical
+        extra_act = 1 if ExtracurricularActivities.lower() == "yes" else 0
+        placement_training = 1 if PlacementTraining.lower() == "yes" else 0
+        # Construct feature vector
+        features = [
+            CGPA,
+            Internships,
+            Projects,
+            Workshops_Certifications,
+            AptitudeTestScore,
+            SoftSkillRating,
+            extra_act,
+            placement_training,
+            SSC_Marks,
+            HSC_Marks,
+        ]
+        # Scale features and make prediction
+        features_scaled = scaler.transform(np.array(features).reshape(1, -1))
+        prediction = model.predict(features_scaled)
+        result = "Placed" if prediction[0] == 1 else "Not Placed"
+        return render_template("index.html", prediction=result)
+    except Exception as e:
+        return render_template("index.html", prediction=f"Error: {e}")
+if __name__ == "__main__":
+    app.run(host='0.0.0.0', port=5000, debug=True)

app/requirements.txt ADDED Viewed

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+pandas
+numpy
+matplotlib
+seaborn
+scikit-learn
+mlflow
+joblib
+flask

app/templates/index.html ADDED Viewed

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+<!DOCTYPE html>
+<html>
+<head>
+    <title>Student Placement Prediction</title>
+    <style>
+        body { font-family: Arial, sans-serif; margin: 40px; }
+        label { display: inline-block; width: 200px; }
+        input, select { margin-bottom: 10px; }
+    </style>
+</head>
+<body>
+    <h1>Student Placement Prediction</h1>
+    <form action="/predict" method="post">
+        <label for="CGPA">CGPA:</label>
+        <input type="number" step="0.1" id="CGPA" name="CGPA" required><br>
+        <label for="Internships">Internships:</label>
+        <input type="number" id="Internships" name="Internships" required><br>
+        <label for="Projects">Projects:</label>
+        <input type="number" id="Projects" name="Projects" required><br>
+        <label for="Workshops_Certifications">Workshops/Certifications:</label>
+        <input type="number" id="Workshops_Certifications" name="Workshops_Certifications" required><br>
+        <label for="AptitudeTestScore">Aptitude Test Score:</label>
+        <input type="number" id="AptitudeTestScore" name="AptitudeTestScore" required><br>
+        <label for="SoftSkillRating">Soft Skill Rating:</label>
+        <input type="number" step="0.1" id="SoftSkillRating" name="SoftSkillRating" required><br>
+        <label for="ExtracurricularActivities">Extracurricular Activities:</label>
+        <select id="ExtracurricularActivities" name="ExtracurricularActivities" required>
+            <option value="Yes">Yes</option>
+            <option value="No">No</option>
+        </select><br>
+        <label for="PlacementTraining">Placement Training:</label>
+        <select id="PlacementTraining" name="PlacementTraining" required>
+            <option value="Yes">Yes</option>
+            <option value="No">No</option>
+        </select><br>
+        <label for="SSC_Marks">SSC Marks:</label>
+        <input type="number" id="SSC_Marks" name="SSC_Marks" required><br>
+        <label for="HSC_Marks">HSC Marks:</label>
+        <input type="number" id="HSC_Marks" name="HSC_Marks" required><br>
+        <button type="submit">Predict</button>
+    </form>
+    {% if prediction %}
+        <h2>Prediction: {{ prediction }}</h2>
+    {% endif %}
+</body>
+</html>

model_rf.joblib ADDED Viewed

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3c870e3c62567fafa90f63a60bfa21a1f77d4800b5522e550fefcfadc7d2c741
+size 815337

requirements.txt ADDED Viewed

	@@ -0,0 +1,8 @@

+pandas
+numpy
+matplotlib
+seaborn
+scikit-learn
+mlflow
+joblib
+flask

scaler.joblib ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:31dc61f25100ed5df127b242c8b8cb24475366173644bb2db801ed112897f399
+size 1367