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-🤖 MAXA – Max Assistance
-AI Integrated Academic & Mental Health Support System for High School Students
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-Team: B-max
-Members: Ngô Gia Duy Anh – Nguyễn Đức Lâm – Lê Văn Duy Hiếu
-Competition: AI Young Guru
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-📌 1. Overview
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-Maxa (Max Assistance) is an AI-powered web application designed to support high school students (15–17 years old) in managing:
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-📊 Academic stress
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-🔎 Misinformation related to exams and university admissions
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-🎯 Personalized study planning
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-The system integrates Natural Language Processing (NLP), Machine Learning, Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) into one unified platform.
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-Unlike traditional single-function tools, Maxa provides a holistic support model that combines psychological analysis, academic personalization, and information verification.
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-🎯 2. Problem Statement
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-According to the World Health Organization, adolescent mental health is a growing global concern.
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-High school students face increasing stress due to:
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-Academic pressure and university entrance exams
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-Family and societal expectations
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-Social media comparison (TikTok, Facebook, Instagram)
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-Exposure to unverified or misleading educational information
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-At the same time, the education system often applies standardized methods to students who:
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-Have different learning capacities
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-Have diverse career orientations
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-Have different stress tolerance levels
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-There is currently no integrated system that simultaneously:
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-Detects stress early
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-Verifies educational information
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-Personalizes learning pathways
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-Maxa addresses this gap.
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-🧠 3. Core Features
-1️⃣ Stress Level Prediction
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-Emotion analysis from student journal input
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-Sentiment classification
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-Stress scoring and categorization:
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-🟢 Low
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-🟡 Medium
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-🟠 High
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-🔴 Critical Risk
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-The system can provide early warnings when stress reaches high levels.
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-2️⃣ Fake Information Detection (RAG-based)
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-Using Retrieval-Augmented Generation (RAG), the system:
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-Retrieves information from trusted educational sources
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-Compares user input with verified data
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-Provides:
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-Reliability percentage
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-Reference sources
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-Warning signals for misinformation
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-This enhances students’ digital literacy and critical thinking skills.
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-3️⃣ Personalized Study Plan Generator
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-Based on:
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-Current stress level
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-Academic goals (A, B, C, D subject groups…)
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-Strengths and weaknesses
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-GenAI generates:
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-Weekly/monthly study schedules
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-Time management strategies
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-Balanced subject planning
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-Career orientation suggestions
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-If stress is high → study intensity is adjusted.
-If academic imbalance is detected → corrective scheduling is suggested.
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-🏗 4. System Architecture
-User Input (Web Interface)
-        ↓
-Data Preprocessing (NLP)
-        ↓
- ┌───────────────┬───────────────┬────────────────┐
- │ Stress Model  │ Fake News RAG │ Study Planner  │
- └───────────────┴───────────────┴────────────────┘
-        ↓
-Personalized AI Response
-⚙️ 5. Technologies Used
-Component	Technology
-Programming Language	Python
-UI Framework	Gradio (Hugging Face Spaces)
-NLP	Transformers
-ML Model	Classification model
-GenAI	Text generation
-RAG	FAISS + Retrieval Pipeline
-Database (future expansion)	Structured data storage
-🚀 6. Deployment
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-This application is deployed on Hugging Face Spaces using:
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-Gradio interface
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-Python backend
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-Transformer-based NLP pipeline
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-To run locally:
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-pip install -r requirements.txt
-python app.py