Java
Deep Learning & Vision
2016
ID: 1CP0279
Academic performance prediction based on multistore multi feature behavioural data
Keywords:
Academic
Performance
Prediction,
Behavioural
Data
Analysis,
Multi-Feature
Data
Project Synopsis & Overview
To develop a predictive model that leverages multistore and multi-feature behavioral data to accurately forecast students’ academic performance, enabling early identification of at-risk students and supporting personalized educational interventions.
Complete Technical Specifications
| Project ID | 1CP0279 (DB ID: 279) |
| Project Title | Academic performance prediction based on multistore multi feature behavioural data |
| Domain Division | Java |
| Sub-Domain / Tech | Deep Learning & Vision |
| IEEE Year | 2016 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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