EduPredict is a cutting-edge Big Data project
built with Flask, Python, and MongoDB, designed to predict student scores with high accuracy.
The platform integrates advanced analytics and machine learning to support data-driven decisions
in education.
Featuring four dedicated panels — Admin, Student,
Analyst, and Teacher —
Scope of Work
Big Data Analytics, Machine Learning, Predictive Modeling, Full-Stack Development
Industry
Education Technology
Project Scale
4-panel system (Admin, Student, Analyst, Teacher)
Technology Stack
Flask, Python, MongoDB, HTML/CSS/JS
EduPredict is an advanced Big Data–driven platform developed with Flask, Python, and MongoDB to predict student scores and enhance academic outcomes. The system integrates predictive analytics and machine learning to provide actionable insights for students, teachers, analysts, and administrators.
Using historical academic records and real-time data, EduPredict accurately forecasts student performance, helping institutions identify at-risk learners and provide targeted support.
The project includes four dedicated panels: Admin (system management), Student (personalized insights), Analyst (data visualization and trends), and Teacher (academic guidance and monitoring).
Powered by MongoDB’s scalability and Python’s ML libraries, EduPredict processes large volumes of educational data, delivering predictive models, dashboards, and reports that improve decision-making in the education sector.
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