👩‍🏫DropTrack.AI

AI-based Student Dropout Prediction and Counseling System

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Overview

DropTrack.AI is an AI-driven student dropout prediction and counseling platformdesigned to identify at-risk students early and enable timely intervention. By analyzing academic, behavioral, and socio-economic indicators, the system helps institutions, mentors, and authorities take proactive steps to improve student retention and educational outcomes.

Key Features

  • AI-powered student dropout risk prediction
  • Role-based access for Admin, Schools, Students, Mentors, and Authorities
  • Early intervention and personalized counseling workflows
  • Student performance and engagement monitoring
  • Mentor & counselor assignment and session tracking
  • Real-time analytics dashboards for decision-making
  • Secure authentication and data-driven insights

Tech Stack

Python
Django REST Framework
React.js
Tailwind CSS
Redux
Node.js
Express.js
MongoDB
Scikit-learn
Numpy
Pandas
RAG-ChatBot
Google Gemini
OpenAi
Postman
Data Viz
JWT
HTML5
CSS3
JavaScript
Whatsapp
Gmail
Twilio
GIt
GitHub

Project Interface Screenshots

Screenshot 1

Admin Dashboard (Govt)

Screenshot 2

Data Visualisation

Screenshot 3

Fusion Chart Visualisation

Screenshot 4

State Authority Dashboard

Screenshot 5

Government Remidies for Dropout Students

Screenshot 6

Dropout Prediction (At State Level)

Screenshot 7

School Dashboard

Screenshot 8

Student Data Ingestion

Screenshot 9

Dropout Prediction (At School Level)

Screenshot 10

Student Profile

Screenshot 11

Student Councelling Application Page

Screenshot 12

RAG bot for Student Queries

Screenshot 13

Mentor Councelling Management Page

Screenshot 14

Connection with Dropout Student Via Whatsapp/Email

Screenshot 15

Multilingual Support

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