ML-Learner / Backend_node /src /models /performance.models.ts
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import mongoose from "mongoose";
const performanceSchema = new mongoose.Schema(
{
interview_id: {
type: mongoose.Schema.Types.ObjectId,
ref: "Interview",
required: true
},
user_id: {
type: mongoose.Schema.Types.ObjectId,
ref: "User",
required: true
},
overallScore: {
type: Number,
min: 0,
max: 10,
required: true
},
verdict: {
type: String,
enum: ["hire", "maybe", "reject"],
required: true
},
summaryFeedback: {
type: String,
required: true
},
skills: {
technical: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
dsa: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
problemSolving: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
communication: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
systemDesign: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
projects: {
score: { type: Number, min: 0, max: 10 },
feedback: String
},
behaviour: {
score: { type: Number, min: 0, max: 10 },
feedback: String
}
},
strengths: [
{
type: String
}
],
weaknesses: [
{
type: String
}
],
practiceRecommendations: [
{
type: String
}
],
studyRecommendations: [
{
type: String
}
],
lowPriorityOrAvoid: [
{
type: String
}
],
confidenceLevel: {
type: Number,
min: 0,
max: 10
}
},
{
timestamps: true
}
);
export default mongoose.model("Performance", performanceSchema);