AI-Based Student Performance Predictor
Objective:
To develop a system that uses machine learning to predict students' academic performance based on their attendance, past scores, activity levels, and behavioral data—helping institutions identify at-risk students early.
Key Features
Student Panel:
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View personal performance prediction score
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Get personalized learning recommendations
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Access predicted strengths & weaknesses
Faculty/Instructor Panel:
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Upload student records (grades, attendance, quiz scores, etc.)
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View prediction dashboard with risk alerts
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Get suggestions for mentoring or remedial plans
Admin Panel:
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Manage student data imports
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Monitor accuracy metrics of ML models
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Export prediction reports per class/subject
Tech Stack
| Layer | Technology |
|---|---|
| Frontend | React.js / Angular / Vue.js |
| Backend | Python (Flask/FastAPI) / Node.js / Spring Boot |
| ML Framework | Scikit-learn / TensorFlow / PyTorch |
| Database | MySQL / PostgreSQL / MongoDB |
| Visualization | Chart.js / D3.js / ECharts |
| Hosting | AWS / Heroku / Google Cloud |
Workflow
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Data Collection
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Instructors upload student data (attendance, marks, participation)
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Model Training & Prediction
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ML model processes data to predict outcomes (Pass/Fail/Grade)
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Predictions shown in dashboards for students and faculty
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Actionable Insights
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Students receive tips to improve based on weak areas
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Faculty can track risk students and plan intervention
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₹ 1699 /-
Project includes:
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Customization
Fully
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Security
High
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Performance
Fast
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Future Updates
Free
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Total Buyers
500+
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Support
Lifetime
Secure Payment:
