AI Chat Assistant for Mental Wellness and stress

sairajborkar31 2 views 9 slides Oct 09, 2025
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About This Presentation

Problem:
Many individuals struggle with stress and loneliness but hesitate to seek
help. There is a need for a friendly AI chatbot that can detect mood through
text conversations and provide emotional support or positive suggestions.
Proposed Solution:
Develop a conversational AI chatbot that intera...


Slide Content

TITLE: Education and Skilling
Presented By:
Prathamesh Prabhu
Moolya Praveeksha Narayan
Skanda Prasad
Vaidehi V Pai
AINNOVATION_II
2025
Team Name: Cyber Squad

Problem Statement:
Visually impaired students
struggle with accessing
written notes and lecture
content.

Problem 02Problem 01
Hearing impaired students
face challenges in
understanding spoken
lectures.

? ?
Education often leaves behind students with disabilities due to the lack of inclusive tools.

Problem Statement:
Problem 04Problem 03
Students from weaker
backgrounds lack
resources and guidance,
making it hard to compete
with peers.
Handwritten notes and
study material are often
inaccessible without
proper conversion tools.

? ?
Education often leaves behind students with disabilities due to the lack of inclusive tools.
? ?

Expected Solutions:
We propose an AI-powered Accessibility App that ensures inclusive
education by:
Text-to-Speech
(TTS)
Converts lecture
notes, e-books, and
PDFs into natural
speech for visually
impaired students.
Speech-to-Text
(STT)
Converts live
lectures into captions
and transcripts for
hearing impaired
students.
?????? Outcome: Enabling barrier-free learning and ensuring
equal access to education.

Expected Solutions:
We propose an AI-powered Accessibility App that ensures inclusive
education by:
AI-Powered
Personalized
Learning


Guides students from
basics to advanced
with adaptive paths.
AI suggests practice
(DSA/LeetCode)
based on progress,
boosting skills step by
step.


?????? Outcome: Creating motivated and resource-ready
learners through AI-driven personalized education.


OCR with AI
Computer Vision
Converts handwritten
notes into digital text
that can then be read
aloud or translated.

Technical Architecture :
Lectures (Audio/Video) [Caption/Transcript] Azure Speech-to-Text
Notes/PDF/Hand
written Image
Azure Computer
Vision OCR
Text Azure Text-to-Speech Audio
All outputs stored in Blob Storage Served via Web/Mobile App

Microsoft Azure Used:
Azure Cognitive Services - Speech
?????? Speech-to-Text: Converts spoken words into captions for lectures.
?????? Text-to-Speech: Creates audio versions of notes for accessibility.
Azure Blob Storage - Storage
?????? Securely stores lectures, captions, and converted files.
Azure Translator
Azure Computer Vision
?????? OCR (Optical Character Recognition): Extracts text from handwritten and digital notes

?????? Provides multi-language support for learners worldwide.

Tech Stack:
Cloud Platform: Microsoft Azure
Backend: Node.js

Frontend: ReactJS (Web),
App Hosting: Azure App Service /
Azure Functions
Storage: Azure Blob Storage
AI/ML Services: Azure Cognitive
Services (STT, TTS, OCR, Translator)

Thank You!
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