基于在线实习管理平台的人工智能应用与实现

# 示例代码：基于Flask的在线实习管理平台后端

from flask import Flask, request, jsonify

from sklearn.ensemble import RandomForestClassifier

app = Flask(__name__)

# 模拟任务数据

tasks = [

{"id": 1, "name": "数据分析", "priority": 3},

{"id": 2, "name": "报告撰写", "priority": 2}

]

# AI任务优先级预测模型

model = RandomForestClassifier()

model.fit([[1], [2]], [3, 2]) # 简化示例

@app.route('/assign_task', methods=['POST'])

def assign_task():

data = request.get_json()

priority = model.predict([[data['experience_level']]])

task = tasks.pop(0)

return jsonify({"task": task["name"], "priority": priority[0]})

if __name__ == '__main__':

app.run(debug=True)

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