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Home Projects Java Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance
Design and Development of Integrated Human Resource Management System with Face Recognition Attendance ₹5,500.00
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A Faster, Integrated, and Trusted Certificate Authentication and Issuer Validation System Based on Blockchain
A Faster, Integrated, and Trusted Certificate Authentication and Issuer Validation System Based on Blockchain ₹5,500.00

Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition

₹5,500.00

Aim:

         The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.

 

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Categories: Android, Java Tags: Android, Java Projects, Machine Learning, Medical Chat
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Description

Aim:

         The primary aim of this project is to detect, monitor, and provide mental health support for pregnant women by analyzing free conversational speech in naturalistic settings. The system leverages cloud-based communication, AI-driven audio analysis, and human–AI hybrid interaction to screen for depression and anxiety while providing emotional support through chat and voice-based systems.

Abstract :

        This project presents a digital solution designed to address mental health challenges faced by pregnant women. The system integrates Android, Web, and Python AI servers to analyze natural conversational speech for early detection of depression and anxiety symptoms.

Friend Chat — a secure and private Android-based chat platform that allows pregnant women to communicate freely and express emotions safely.

Medical Chat — a web-based application that connects patients directly with certified doctors or counsellors for professional evaluation and advice.

Helpline Number — an AI-driven conversational module built using Python, enabling voice-based counselling, emotional support, and automatic call responses.

By analyzing text and audio data, the system uses machine learning techniques to identify stress indicators and emotional states, providing timely intervention and connecting users to medical professionals when needed.

Proposed System:

      The proposed system introduces a multi-mode communication and screening platform that uses AI and cloud technologies for emotional analysis and psychological support. Friend Chat: A secure Android chat feature where users communicate anonymously. The chat text is stored in Firebase Cloud, ensuring privacy and real-time interaction. Sentiment analysis is applied to detect distress indicators. Medical Chat: A web application used by doctors to review flagged conversations, provide counselling, and monitor patient well-being. Doctors can reply directly through the web interface connected to the Firebase database. Helpline Number (AI Voice System): A Python-based conversational AI that interacts with users via speech. It provides immediate counselling, detects vocal stress patterns, and can escalate to a human counsellor if needed.AI models analyze both textual and speech-based emotions to estimated the like hood of depression or anxiety, allowing for early diagnosis and timely intervention.

Advantages:

  1. 24/7 Accessibility: Users can chat or speak at any time, from anywhere.
  2. AI-based Prediction: Machine learning models estimate emotional health conditions.
  3. Doctor Connection: Provides direct communication with certified counsellors.
  4. Real-time Synchronization: Firebase ensures instant data exchange between users and doctors.
  5. Voice Counselling Support: Python AI system enables emotional relief through speech interaction.
  6. Data Privacy: End-to-end encrypted friend chat protects user identity.
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