AI Based Dropout Prediction and Counselling System - Smart Automation (SIH25102)

In this video, we present our AI-powered Dropout Prediction and Counselling System designed to identify at-risk students early and provide personalized mentoring support.

📌 What’s inside this video:
1) PPT Presentation – Problem statement, Proposed Solution, Objectives, System Architecture, Impacts and Benefits, Unique Features and Prototype and References.

2) Project Demo – Live walkthrough of the AI models, Role Based Access and Dashboards and Counselling module

3) Results & Insights – How our system predicts dropout risks with accuracy

4) Future Scope – Scaling for institutions and integration with national education frameworks

✨ Key Features:
✔️ Student performance analysis (marks, attendance, fee details ingestion)
✔️ AI-driven dropout prediction and RAG and Chatbot Support
✔️ Role-based dashboards for Admin (Government), State, Schools, Mentors and Students
✔️ Counselling recommendations to improve retention

Timestamp:
0:00 - 0:30 - Problem Statement
0:31 - 1:08 - Proposed Solution
1:09 - 1:23 - Hierarchical Diagram Overview
1:24 - 2:06 - Technical Approach and Unique Features
2:07 - 2:34 - Feasibility and Viability
2:35 - 3:26 - Folder Structure and Version Control (git / github)
3:27 - 4:27 - Admin panel (Role- Government)
4:28 - 4:51 - Reason and Remedies by Government
4:52 - 5:24 - Admin Controls and Multilingual Feature
5:25 - 6:17 - State Authority (Role- State)
6:18 - 6:45 - Machine Learning for Dropout Prediction
6:46 - 7:05 - School Authority (Role- School)
7:06 - 7:33 - Data Entry by School (Manual and Excel Upload)
7:34 - 7:57 - ML prediction for likely to Dropout Student
7:58 - 8:32 - Student Panel (Role- Student)
8:33 - 8:47 - Counselling Schedule
8:48 - 9:04 - RAG Chatbot for Students
9:05 - 9:16 - Mentor Panel
9:17 - 9:48 - Counselling Meeting Schedule
9:49 - 10:20 - Dropout Student contact by Mentor (WhatsApp and Email)

Let us change the world together.....