AI Powered Mental Health Prediction System using Python ML

AI Powered Mental Health Prediction System using Python ML
5.55$ 33.34$
  • INR: ₹ 499.00
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A complete Final Year Project on AI-Powered Mental Health Prediction System using Python ML  BCA/MCA/B.Tech/M.Tech students. Includes source code, database, Final Year project report, diagrams (ER, DFD, Use Case), and PowerPoint presentation.

AI-Powered Mental Health Prediction System using Python ML Project Package Includes:

  • Full Source Code of the project.
  • Project Report (in doc and pdf formats, 43 pages).
  • Project PPT

The project and Report are Downloadable immediately after payment is successful.

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AI Powered Mental Health Prediction System using Python ML
5.55$ 33.34$
  • INR: ₹ 499.00

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The AI Powered Mental Health Prediction System is an intelligent healthcare application that uses Machine Learning algorithms to analyze user data and predict potential mental health conditions such as Depression, Anxiety, Stress, and Emotional Well-being levels.
This system helps in early detection and awareness, enabling timely support and preventive care.

The project is developed using Python, Machine Learning, and Data Analytics techniques, making it ideal for final year students (BCA, MCA, B.Tech, M.Tech).

Key Features
  • User Authentication System
    Secure signup, login, logout, and password management for both users and administrators.
  • Mental Health Prediction
    Uses a machine learning model to predict mental health risk based on user inputs.
  • Multiple Risk Categories
    Classifies users into Healthy, Low Risk, Moderate Risk, and High Risk categories.
  • Risk Percentage Calculation
    Provides a normalized risk percentage for better interpretation of results.
  • Personalized Suggestions
    Offers guidance and recommendations based on predicted mental health status.
  • Prediction History Tracking
    Allows users to view past prediction records for self-monitoring.
  • User Profile Management
    Enables users to view and update their personal information.
  • Admin Dashboard
    Displays total users, risk distribution, and overall system statistics.
  • User Management
    Admin can view, search, filter, and manage registered users.
  • Secure and User-Friendly Interface
    Designed with a clean, intuitive layout for easy navigation and usability.
⚙️ Technologies Used

  • Programming Language: Python

  • Machine Learning: Scikit-learn

  • Libraries: NumPy, Pandas, Matplotlib, Seaborn

  • Algorithms Used:

    • Logistic Regression

    • Random Forest

    • Decision Tree

    • Support Vector Machine (SVM)

  • Dataset: Mental Health Survey Dataset

  • Frontend (Optional): HTML, CSS, Bootstrap

  • Backend (Optional): Django

👨‍🎓 Who Can Use This Project?

  • BCA / MCA Final Year Students

  • B.Tech / M.Tech (CSE / AI / ML) Students

  • Healthcare AI Researchers

  • Machine Learning Learners

  • College Mini & Major Projects

📦 What You Get

✔ Complete Source Code
✔ Machine Learning Model
✔ Dataset
✔ Project Report (PDF/DOC)
✔ PPT Presentation
✔ Installation & Execution Guide
✔ Free Support for Setup

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