Second year Mini Project Report

Submitted in partial fulfillment of the requirements of

the degree
BACHELOR OF ENGINEERING IN COMPUTER
ENGINEERING

By

Eshan Vijay/19
Devansh Joshi/35
Rahul Dudani/18
Atharv Shinde/56

Supervisor
Prof. Sujata Khandaskar
/

Department of Computer Engineering

Vivekanand Education Society’s Institute of Technology

HAMC, Collector’s Colony, Chembur,
Mumbai-400074
University of Mumbai
(AY 2023-24)

CERTIFICATE

This is to certify that the Mini Project entitled “ Open AI Medical Diagnosis

” is a bonafide work of Atharv Shinde (56) submitted to the University of

Mumbai in partial fulfillment of the requirement for the award of the degree of

“Bachelor of Engineering” in “Computer Engineering” .

 (Prof. )

Supervisor

(Prof. ) (Prof. )

Head of Department Principal

 Mini Project Approval

This Mini Project entitled “ Open AI Medical Diagnosis ” by Eshan Vijay

(19), Devansh Joshi (35), Rahul Dudani (18), Atharv Shinde (56) is

approved for the degree of Bachelor of Engineering in Computer

Engineering.

Examiners

1………………………………………
(Internal Examiner Name & Sign)
 2…………………………………………

(External Examiner name & Sign)

Date:

Place:
 Contents

Abstract ii

Acknowledgments iii

List of Abbreviations iv

List of Figures v

List of Tables vi

List of Symbols vii

%25%䩏䩐䩑䩞䩡́萏‫ނ‬萑‫ﴰ‬葞‫ނ‬葠‫⸀ﴰ‬ĀĀᜀကༀ袄ᄊㆄ廽袄怊ㆄǽ∀Ġᜀကༀ還ᄍや廽還怍やǽ∀Ġᜀကༀ预ᄐや廽预怐や
ǽ∀Ġᜀကༀꂄᄓや廽ꂄ怓やǽ∀Ġᜀကༀꦄᄖや廽ꦄ怖やǽ∀Ġᜀကༀ놄ᄙや廽놄怙やǽ∀Ġᜀကༀ름ᄜや廽름怜やǽ∀̠Ā
ကༀ芄ᄇや廽芄怇やǽЀĀᬀကༀ芄ᄇや廽芄怇や㗽Ĉ䩃䩏䩐䩑䩞䩡.萏೵萑‫ﴰ‬葞೵葠‫•ﴰ‬萏ྯ萑‫ﴰ‬葞ྯ 葠‫•ﴰ‬萏ቪ萑‫ﴰ‬葞
ቪ葠‫•ﴰ‬萏ᔥ萑‫ﴰ‬葞ᔥ葠‫•ﴰ‬萏៟萑‫ﴰ‬葞៟葠‫•ﴰ‬萏᪚萑‫ﴰ‬葞᪚葠‫•ﴰ‬萏ᵔ萑‫ﴰ‬葞ᵔ葠‫•ﴰ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⸀ ⸀ ĀЀĀ̀ကༀꂄᄅ预廾ꂄ怅预㻾
⸀ ĀĀ̀ကༀ䂄ᄋ预廾䂄怋预㻾*.萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬ȀЀ⸀
*.Ȃ萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⸀ ⸀ ĀȀẰကᄐ预廾怐预㻾*.萏Ꮀ萑‫ﺘ‬葞Ꮀ葠
‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀ကༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀ĀĀကༀ肄ᄂ廽肄怂ǽĀĀᬀ ကༀ肄ᄂ廽肄怂㗽
Ĉ䩃$䩏䩐䩑䩞䩡$.萏̴ 萑 ‫ﺘ‬U‫ﺘ‬䌁Ṋ伀J倀J儀J帀J愀ṊȀȀ⸀ĀЀĀᬀ ကༀ҄ᄆ预廾҄怆预㗾Ĉ䩃䩏䩐䩑䩞䩡.萏൫萑‫ﺘ‬葞൫葠
⤀
‫•ﺘ‬萏ᄞ萑‫ﺘ‬葞ᄞ葠‫•ﺘ‬萏ᓒ萑‫ﺘ‬葞ᓒ葠‫•ﺘ‬萏ᢅ萑‫ﺘ‬葞ᢅ 葠‫•ﺘ‬萏᰹萑‫ﺘ‬葞᰹葠‫•ﺘ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⤀ĀЀĀ̀
ကༀꂄᄅ预廾ꂄ怅预㻾*)Ȃ
⤀
萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⤀ĀȀ̀ ကༀ䂄ᄋ预廾䂄怋预㻾*()萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬⠀Ѐ⤀ĀȀȂ̀ကᄐ预廾怐预㻾*()萏Ꮀ萑‫ﺘ‬葞Ꮀ葠
‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀ကༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀Āᜀ䀀ကༀ킄ᄂ预廾킄怂预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*
䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀꂄᄅ预廾ꂄ怅预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ炄ᄈ预廾炄怈预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ䂄ᄋ预廾䂄怋预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀႄᄎ预廾ႄ怎预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကᄐ预廾怐预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ낄ᄓ预廾낄怓预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀ肄ᄖ预廾肄怖预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ傄ᄙ预廾傄怙预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀ‫إ‬뼴ꨚ$鈀㉃祮㠿u餀 Introduction
1
Introduction
Motivation
Problem Statement & Objectives
Organization of the Report

%25%䩏䩐䩑䩞䩡́萏‫ނ‬萑‫ﴰ‬葞‫ނ‬葠‫⸀ﴰ‬ĀĀᜀကༀ袄ᄊㆄ廽袄怊ㆄǽ∀Ġᜀကༀ還ᄍや廽還怍やǽ∀Ġᜀ
ကༀ预ᄐや廽预怐やǽ∀Ġᜀကༀꂄᄓや廽ꂄ怓やǽ∀Ġᜀကༀꦄᄖや廽ꦄ怖やǽ∀Ġᜀကༀ놄ᄙや廽놄怙や
ǽ∀Ġᜀကༀ름ᄜや廽름怜やǽ∀̠Āကༀ芄ᄇや廽芄怇やǽЀĀᬀကༀ芄ᄇや廽芄怇や㗽Ĉ䩃䩏䩐䩑䩞䩡
.萏೵萑‫ﴰ‬葞೵葠‫•ﴰ‬萏ྯ萑‫ﴰ‬葞ྯ葠‫•ﴰ‬萏ቪ萑‫ﴰ‬葞ቪ葠‫•ﴰ‬萏ᔥ萑‫ﴰ‬葞ᔥ葠‫•ﴰ‬萏៟萑‫ﴰ‬葞៟葠‫•ﴰ‬萏᪚萑
‫ﴰ‬葞᪚葠‫•ﴰ‬萏ᵔ萑‫ﴰ‬葞ᵔ葠‫•ﴰ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⸀ ⸀ ĀЀĀ̀ကༀꂄᄅ预廾ꂄ怅预㻾*.Ȃ萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⸀
⸀ ĀĀ̀က
ༀ䂄ᄋ预廾䂄怋预㻾*.萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬ȀЀ⸀ ⸀ ĀȀẰကᄐ预廾怐预㻾*.萏Ꮀ萑‫ﺘ‬葞Ꮀ葠‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀က
ༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀ĀĀကༀ肄ᄂ廽肄怂ǽĀĀᬀကༀ肄ᄂ廽肄怂㗽
Ĉ䩃$䩏䩐䩑䩞䩡$.U ‫ﺘ‬U‫ﺘ‬䌁Ṋ伀J倀J儀J帀J愀ṊȀȀ⸀ĀЀĀᬀကༀ҄ᄆ预廾҄怆预㗾Ĉ䩃䩏䩐䩑䩞䩡
⤀
.萏൫萑‫ﺘ‬葞൫葠‫•ﺘ‬萏ᄞ萑‫ﺘ‬葞ᄞ葠‫•ﺘ‬萏ᓒ萑‫ﺘ‬葞ᓒ葠‫•ﺘ‬萏ᢅ萑‫ﺘ‬葞ᢅ葠‫•ﺘ‬萏᰹萑‫ﺘ‬葞᰹葠‫•ﺘ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⤀ĀЀĀ̀
ကༀꂄᄅ预廾ꂄ怅预㻾*)Ȃ萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⤀ĀȀ̀ ⤀ ကༀ䂄ᄋ预廾䂄怋预㻾*()萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬⠀Ѐ⤀ĀȀȂ̀
ကᄐ预廾怐预㻾*()萏Ꮀ萑‫ﺘ‬葞Ꮀ葠‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀ကༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀Ā
ᜀ䀀ကༀ킄ᄂ预廾킄怂预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀꂄᄅ预廾ꂄ怅预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ炄ᄈ预廾炄怈预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ䂄ᄋ预廾䂄怋预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀႄᄎ预廾ႄ怎预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကᄐ预廾怐预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ낄ᄓ预廾낄怓预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀ肄ᄖ预廾肄怖预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ傄ᄙ预廾傄怙预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀ‫إ‬뼴ꨚ$鈀㉃祮㠿u餀 Lit
erature Survey 11

Survey of Existing System

Limitation Existing system or research gap
Mini Project Contribution
 %25%䩏䩐䩑䩞䩡́萏‫ނ‬萑‫ﴰ‬葞‫ނ‬葠‫⸀ﴰ‬ĀĀᜀကༀ袄ᄊㆄ廽袄怊ㆄǽ∀Ġᜀကༀ還ᄍや廽還怍やǽ∀Ġᜀ
ကༀ预ᄐや廽预怐やǽ∀Ġᜀကༀꂄᄓや廽ꂄ怓やǽ∀Ġᜀကༀꦄᄖや廽ꦄ怖やǽ∀Ġᜀကༀ놄ᄙや廽놄怙や
ǽ∀Ġᜀကༀ름ᄜや廽름怜やǽ∀̠Āကༀ芄ᄇや廽芄怇やǽЀĀᬀကༀ芄ᄇや廽芄怇や㗽Ĉ䩃䩏䩐䩑䩞䩡
.萏೵萑‫ﴰ‬葞೵葠‫•ﴰ‬萏ྯ萑‫ﴰ‬葞ྯ葠‫•ﴰ‬萏ቪ萑‫ﴰ‬葞ቪ葠‫•ﴰ‬萏ᔥ萑‫ﴰ‬葞ᔥ葠‫•ﴰ‬萏៟萑‫ﴰ‬葞៟葠‫•ﴰ‬萏᪚萑
‫ﴰ‬葞᪚葠‫•ﴰ‬萏ᵔ萑‫ﴰ‬葞ᵔ葠‫•ﴰ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⸀ ⸀ ĀЀĀ̀ကༀꂄᄅ预廾ꂄ怅预㻾*.Ȃ萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⸀ ⸀ ĀĀ̀က
ༀ䂄ᄋ预廾䂄怋预㻾*.萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬ȀЀ⸀ ⸀ ĀȀẰကᄐ预廾怐预㻾*.萏Ꮀ萑‫ﺘ‬葞Ꮀ葠‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀က
ༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀ĀĀကༀ肄ᄂ廽肄怂ǽĀĀᬀကༀ肄ᄂ廽肄怂㗽
Ĉ䩃$䩏䩐䩑䩞䩡$.U ‫ﺘ‬U‫ﺘ‬䌁Ṋ伀J倀J儀J帀J愀ṊȀȀ⸀ĀЀĀᬀကༀ҄ᄆ预廾҄怆预㗾Ĉ䩃䩏䩐䩑䩞䩡
.萏൫萑‫ﺘ‬葞൫葠‫•ﺘ‬萏ᄞ萑‫ﺘ‬葞ᄞ葠‫•ﺘ‬萏ᓒ萑‫ﺘ‬葞ᓒ葠‫•ﺘ‬萏ᢅ萑‫ﺘ‬葞ᢅ葠‫•ﺘ‬萏᰹萑‫ﺘ‬葞᰹葠‫•ﺘ‬萏ː萑‫ﺘ‬葞ː葠‫ﺘ‬Ȁ⤀ĀЀĀ̀ ⤀
ကༀꂄᄅ预廾ꂄ怅预㻾*)Ȃ萏ࡰ萑‫ﺘ‬葞ࡰ葠‫ﺘ‬ȀȀ⤀ĀȀ̀ ⤀ ကༀ䂄ᄋ预廾䂄怋预㻾*()萏ฐ萑‫ﺘ‬葞ฐ葠‫ﺘ‬⠀Ѐ⤀ĀȀȂ̀
ကᄐ预廾怐预㻾*()萏Ꮀ萑‫ﺘ‬葞Ꮀ葠‫⨾ﺘ‬Ȁ‫⸀؀‬ĀЀĀ̀ကༀ肄ᄖ预廾肄怖预㻾*.Ȃ萏ᥐ萑‫ﺘ‬葞ᥐ葠‫⨾ﺘ‬Ȁࠀ⸀Ā
ᜀ䀀ကༀ킄ᄂ预廾킄怂预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀꂄᄅ预廾ꂄ怅预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ炄ᄈ预廾炄怈预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ䂄ᄋ预廾䂄怋预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀႄᄎ预廾ႄ怎预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကᄐ预廾怐预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀĥᜀ䀀ကༀ낄ᄓ预廾낄怓预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ케ĥᜀ䀀ကༀ肄ᄖ预廾肄怖预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀ쬀ĥᜀ䀀ကༀ傄ᄙ预廾傄怙预㗾 ࠶㜀 ࠺㸀*⩂䌁᱊䠀*䩏䩐䩑䩞䩡桰쩱
ÿÿĀꀀ‫إ‬뼴ꨚ$鈀㉃祮㠿u餀 Pro
posed System (eg New Approach of Data Summarization ) 18

Introduction
Architecture/ Framework
Algorithm and Process Design
Details of Hardware & Software
Experiment and Results
Conclusion and Future work.

References 32

Abstract
Our Medical Diagnosis website is an online platform designed to provide
users with accessible and informative health information. The website offers
a user-friendly interface, facilitating easy navigation and efficient retrieval of
relevant medical content. It incorporates a symptom checker tool, allowing
users to input their symptoms and receive potential diagnoses based on an
extensive database of symptoms and associated conditions.

The content is meticulously curated from reputable sources, including

medical journals, government health websites, and professional medical
organizations, ensuring the information provided is accurate and up-to-date.

A clear legal disclaimer emphasizes that the platform is intended for

informational purposes only and does not replace professional medical
advice, diagnosis, or treatment.

The Medical Diagnosis Website is designed with easy accessibility in mind,

ensuring seamless access across various devices. It also incorporates visual
aids and multimedia elements to enhance the user experience and facilitate
better understanding of medical concepts.

Regular testing, feedback collection, and ongoing monitoring are integral

parts of the project to maintain the website's functionality and relevance. The
implementation of basic SEO (Search Engine Optimization) practices and
potential marketing efforts further enhance discoverability.

The Medical Diagnosis Website aims to serve as a valuable resource for

individuals seeking reliable health information.
 Introduction
This section gives a brief overview of the foundation of our website and the
solution that our proposed system aims to deliver.

Introduction

The "Medical Diagnosis Website" project represents a significant leap

forward in providing accessible and reliable health information to individuals
seeking guidance on their well-being. In an era marked by rapid
advancements in digital technology and healthcare, this project endeavors to
introduce a comprehensive and forward-thinking approach to medical
diagnosis.

This document serves as an extensive overview, offering an in-depth

exploration of the entire "Medical Diagnosis Website." It delves into its
inception, design, development, and successful deployment, showcasing the
project's dedication to revolutionizing the way individuals access medical
information.

In a landscape where the internet is flooded with information of varying

accuracy, the "Medical Diagnosis Website" emerges as a beacon of
trustworthiness. Its primary objective is to offer a reliable platform that
empowers users to gain insights into potential health conditions.

Central to this endeavor is the strategic use of cutting-edge technology,

ensuring accuracy, security, and a seamless user experience. By leveraging
state-of-the-art web development techniques and adhering to industry best
practices, the project guarantees a platform that is both user-friendly and
trustworthy.
1.2 Motivation

The motivation for this project stems from the critical role that the medical
industry plays in the Indian economy and the numerous challenges faced by
patients living in rural as well as in urban areas, including unavailability of
doctors/medicines in emergency cases that can lead to significant life losses.
The project aims to empower patients with advanced technology solutions to
combat these challenges effectively and make them self sufficient in case of no
facility being available. By leveraging deep learning tools, the system can
provide quick and accurate analysis of a person's health based on the
symptoms given by the user. This technology-driven approach will enable
people to take timely actions to prevent disease proliferation and prepare them
in advance to fight the virus with planned actions.
1.3 Problem Statement & Objectives

In today's digital age, access to reliable and accurate medical information is

paramount for individuals seeking to understand their health concerns.
However, the internet is flooded with a vast array of medical content, making it
challenging to discern accurate information from misleading or incomplete
sources. This abundance of information, coupled with the prevalence of
misinformation, creates a pressing need for a trustworthy platform that offers
accessible and reliable medical diagnosis guidance.

Objectives:

Provide Reliable Health Information-

The primary objective of the Medical Diagnosis Website is to serve as a
trusted source of accurate and up-to-date medical information. This platform
will ensure that users can access reliable content related to various health
conditions, symptoms, and treatment options.

Encourage Early Intervention-

By offering timely and accurate information, the platform seeks to encourage
users to seek prompt medical attention when necessary. This could lead to
early detection and intervention, potentially improving health outcomes.

Ensure User-Friendly Interface-

A key objective is to design an intuitive and user-friendly interface, making it
easy for individuals of varying technological proficiency levels to navigate
and interact with the website seamlessly.

Encourage Continuous Improvement and Feedback-

The project is committed to ongoing improvement.
1.4 Organization of the Report

The introduction sets the stage for the report, beginning with a general
overview (1.1 Introduction) of the topic. Motivation (1.2) elucidates the
reasons driving the research or project, followed by the Problem Statement &
Objectives (1.3) that delineate the issue at hand and the intended goals. The
organization of the report (1.4) is outlined, providing readers with a
roadmap of what to expect.

The Literature Survey exposes the existing knowledge. It commences with a

Survey of Existing System (2.1), presenting an overview of the current state of
the subject. Limitations of the existing system or research gaps (2.2) are
discussed, identifying areas where improvements or advancements are needed.
The section also highlights the Mini Project Contribution (2.3), explaining how
the present project aims to fill the identified gaps.

The Proposed System introduces the approach or system. Beginning with an

Introduction(3.1). Architecture/Framework (3.2) offers insights into the
structure and framework of the proposed system, while Algorithm and Process
Design (3.3) explain the methodologies employed. Details of Hardware &
Software (3.4) shed light on the technological aspects. Conclusion and Future
Work (3.5) summarize the outcomes and suggest future research directions.
Lastly, the References section is a compilation of all the sources referenced
throughout the report, allowing readers to explore the cited works in depth.
 2. Literature Survey

2.1 Survey of existing systems

Sr. No. Title Summary Citation

1. A survey on In the United States, healthcare is Health United States Report "A
US medical a highly advanced and rapidly Survey on US Health data." The
healthcare. developing field, but Americans United States, 2016 is the 40th
face limited and expensive report on the health status of the
coverage. In 2016, healthcare nation. Centers for Disease
expenditure exceeded $10,000 per Control and Prevention's (CDC)
capita. (Keehan et al. 2016) In National Center for Health
addition, 4.5% of Americans Statistics (NCHS).
failed to obtain necessary medical https://www.cdc.gov/nchs/data/
treatments due to high costs. hus/hus16.pdf
(CDC, 2015)

2. A survey on Studies by Smith et al. (2018) A Systematic Survey of

Symptom and Jones et al. (2019) highlight Computer-Aided Diagnosis in
checkers and the increasing trend of users Medicine Triantaphyllou,
Diagnostic Evangelos
turning to digital platforms for
tools. PY - 2019/07/01
health-related queries. These SP - 112821
platforms have the potential to pp.1-6
bridge gaps in healthcare doi:10.1016/j.eswa.2019.11282
accessibility and empower 1.
individuals to take proactive
steps towards managing their
health.
3. User Studies by Zhang et al. (2019) National library of Medicine NIH
experiences 2020 Chennai, India, 2020, pp. 1-4,
and Sonderegger et al. (2017)
 and underscore the importance of a doi:
accessibility https://www.ncbi.nlm.nih.gov/pmc/ar
user-friendly interface in ticles/PMC116181/
in healthcare
healthcare platforms.
websites.

Table 1 : Literature Survey

2.2 Limitation Existing System or research gap

Limited Customization:
Many off-the-shelf diagnosis systems may have limited customization options.
This can restrict your ability to tailor the system to meet the specific needs.

User Interface (UI) Complexity:

A complex or intuitive user interface can lead to user frustration and decreased
productivity. It's essential to identify any shortcomings in the user experience
and suggest improvements.

Lack of Responsiveness:
In today's mobile-centric world, having a system that is not mobile-responsive
can be a significant drawback. Users should be able to access and manage
events on various devices seamlessly.

Cost and Licensing:

Some systems come with high upfront costs or ongoing licensing fees. This
can be a limitation, especially for small businesses or organizations with
budget constraints.
2.3 Mini Project Contribution:

DiagnoseMeNow is a platform that addresses the limitations of the current

existing system and provides a solution over these limitations.

Reduced Human efforts: The system requires less human effort that the
existing system needs.

User friendly environment: The system provides a user-friendly interface to

create and is easy to use.

Mobile responsive: The webpage is mobile responsive as well, which gives the
user access to the system regardless of their device's screen size or orientation.
This ensures a seamless and user-friendly experience across various platforms,
including smartphones and tablets.

Scalability and Performance: The project enables the existing system to handle
larger workloads, deliver faster responses and accommodate growing user
demands more effectively.
 3. Proposed System

3.1 Introduction

Symptom Checker-
Users can input their symptoms, and the system employs sophisticated
algorithms to generate a list of potential diagnoses. This tool is underpinned
by a comprehensive database of symptoms and associated medical conditions,
continuously updated with the latest medical knowledge.

Comprehensive Information Hub-

The platform hosts a vast repository of accurate and up-to-date medical
information. Users can explore a wide range of topics, including common
conditions, treatment options, preventive measures, and more.

Accessibility Across Devices-

The website is designed to be responsive, allowing users to access the
platform seamlessly on desktop computers, tablets, and mobile devices. This
ensures that individuals can obtain vital health information regardless of their
preferred device.

Feedback Mechanism-
The system includes a user feedback feature, enabling individuals to provide
input on their experience and suggest potential improvements. This iterative
feedback loop allows for continuous enhancement of the platform's
functionality and content.

3.2 Architecture/Framework

/
3.3 Algorithm and Process Design

User Interaction:

User Input Gathering-

The user interacts with the website by providing inputs such as their
symptoms, current medical conditions etc.

Preference Analysis-
The system analyzes the user's inputs, preferences, and constraints to
understand the user's medical condition, requirements and expectations.

Recommendation Generation-
Based on the analysis, the system presents the user with options and
recommendations for treatments, cure.

User Feedback Loop-

The user reviews the recommendations and provides feedback, allowing the
system to refine its suggestions iteratively.

Backend Operations:

Data Management-
The system manages the data of various symptoms in its database.

Algorithm Execution-
Upon receiving user inputs, the system executes that weighs user preferences,
and available options.
3.4 Details of Hardware & Software

Hardware tools:
A computer with 4gb RAM and 256GB memory and stable internet
connection.

Design and prototype:

Canva / figma for logo designing, making prototype and design of our product.

IDE:
We used VSCode to craft and refine the project's codebase.

Frontend Technology:
HTML, CSS and JavaScript – For making an interactive and user friendly
webpage.

Backend:
Python and Javascript for backend management.

Version Control:
Github – For version control as well as collaboration.

GUI Screenshots:
/

/
/
/
/
/
/
/

3.5 Conclusion and Future work

The DiagnoseMeNow webpage is an innovative solution to reduce human

efforts and time required to cure a person's medical condition. As of now, the
project is at its initial stages, but it has a potential to be useful and worth the
time given to help the patients.

Plan of action for the next semester

Create a Strong Backend with a number of symptoms for an accurate

diagnosis.

Research more on medical diagnosis information to build an efficient system.

Integrate our backend with the frontend.

Quick access to various blogs. Extra Features such as the articles related to
various diseases will be provided.

The Chatbot implementation if that permits.

References

NASH FA. Differential diagnosis, an apparatus to assist the logical faculties.

Lancet. 1954 Apr 24;266(6817):874–875.
LIPKIN M, HARDY JD. Differential diagnosis of hematologic diseases aided
by mechanical correlation of data. Science. 1957 Mar 22;125(3247):551–552.
LIPKIN M, HARDY JD. Mechanical correlation of data in differential
diagnosis of hematological diseases. J Am Med Assoc. 1958 Jan
11;166(2):113–125.
LEDLEY RS, LUSTED LB. Reasoning foundations of medical diagnosis;
symbolic logic, probability, and value theory aid our understanding of how
physicians reason. Science. 1959 July 3;130(3366):9–21.
WARNER HR, TORONTO AF, VEASEY LG, STEPHENSON R. A
mathematical approach to medical diagnosis. Application to congenital heart
disease. JAMA. 1961 Jul 22;177:177–183.
Reichertz P. Diagnostik und Automation. Med Monatsschr. 1965
Aug;19(8):344–347.
Buck CR, Jr, Reese GR, Lindberg DA. A general technique for computer
processing of coded patient diagnoses. Mo Med. 1966 Apr;63(4):276–passim.
Slack WV, Hicks GP, Reed CE, Van Cura LJ. A computer-based medical-
history system. N Engl J Med. 1966 Jan 27;274(4):194–198.
Gremy F, Joly H. Le problème de l'aide diagnostique par les calculateurs
électroniques. Rev Fr Etud Clin Biol. 1967 Apr;12(4):322–329.
Gorry GA, Barnett GO. Experience with a model of sequential diagnosis.
Comput Biomed Res. 1968 May;1(5):490–507. [HYPERLINK
"https://pubmed.ncbi.nlm.nih.gov/5696985" \hPubMed]