Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [114]
SMART DERMA: MOBILE APPLICATION FOR SKIN-DISEASE DETECTION
USING CONVOLUTIONAL NEURAL NETWORK
Ronald Fe nandez
ORCID ID - 0009-0007-0979-6315
P o esso , College o Compu ing S udies, Uni e sidad de Manila, Philippines
Jhon Law ence Ami
ORCID ID - 0009-0009-4158-9855
UG S uden s, College o Compu ing S udies, Uni e sidad de Manila, Philippines
Rechelle Cabal e a
ORCID ID - 0009-0009-2212-8754
UG S uden s, College o Compu ing S udies, Uni e sidad de Manila, Philippines
Noel Casas
ORCID ID - 0009-0007-2916-5967
UG S uden s, College o Compu ing S udies, Uni e sidad de Manila, Philippines
Ja ed Concengco
ORCID ID - 0009-0005-1987-7034
UG S uden s, College o Compu ing S udies, Uni e sidad de Manila, Philippines
ABSTRACT
Skin disease is an eme gen public heal h p oblem wo ldwide, pa icula ly in de eloping coun ies whe e
heal hca e access is limi ed. To add ess hese challenges, he apid ad ancemen in A i icial In elligence (AI) and
Machine Lea ning (ML) echnologies has in oduced new oppo uni ies o imp o e heal hca e access and
diagnos ic po en ial. This s udy o Sma De ma: Mobile Applica ion o Skin-Disease De ec ion Using
Con olu ional Neu al Ne wo k (CNN) aims o add ess he g owing need o accessible and eliable ools in
de ma ological sel -assessmen . This is a mobile applica ion o skin disease de ec ion using Con olu ional Neu al
Ne wo k ha will assis he use s o de ec ing possible skin diseases h ough image-based analysis. I was
conduc ed as a de elopmen al app oach a Ga And es Boni acio Memo ial Medical Cen e and Jus ice Jose Abad
San os Gene al Hospi al and was assessed by p o essionals, pa ien s, and s uden s o e alua e i s usabili y and
eliabili y. Howe e , Sma De ma mobile applica ion is no a subs i u e o de ma ologis s bu an adjunc , ini ial
sc eening de ice o iden i y po en ial skin condi ions. The s udy yielded bo h a o able and un a o able ou comes
ha will help s uden s, pa ien s, heal hca e p o ide s and u u e p oponen s while u he alida ion and
imp o emen emain essen ial in con inuing hese s udies.
Keywo ds:
A i icial In elligence, Con olu ional Neu al Ne wo k, Digi al Reposi o y, Academic Resea ch, Image-based
Analysis
INTRODUCTION
A i icial In elligence and Machine Lea ning ha e ans o med many sec o s, including heal hca e, by o e ing
c ea i e solu ions o in ica e issues. Con olu ional Neu al Ne wo ks is a specialized o m o Machine Lea ning
ha is pa icula ly adep a image ecogni ion unc ions by ex ac ing pa e ns and ea u es om images. Th ough
he use o Con olu ional Neu al Ne wo ks, ad oca es and de elope s a e able o design sys ems ha can scan
isual in o ma ion, such as images o skin condi ions, o o e ue insigh s. These A i icial In elligence-based
echnologies hold hope ul p ospec s o esol ing challenges in diagnos ic p ocesses and accessibili y.
Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [115]
The concei ed mobile-applica ion will seek o le e age Con olu ional Neu al Ne wo ks o diagnose skin diseases
based on use -uploaded images o skin ailmen s. By aining he Con olu ional Neu al Ne wo k model on a
ep esen a i e and labeled se o skin condi ions, he sys em will be able o ecognize pa e ns linked wi h
pa icula diseases. Use s will be p o ided wi h an ini ial assessmen o po en ial diagnoses, as well as disease
his o y, causes and symp oms in o ma ion. Al hough he app does no subs i u e p o essional medical
consul a ion, i is a ool o ini ial assessmen s and acili a es decision-making in heal hca e choices..
As wi h any A i icial In elligence-based sys em, his app has s eng hs and weaknesses. Among i s s eng hs
include ease o access, a o dabili y, and he capabili y o suppo use s in unde se ed a eas whe e he e a e no
enough de ma ologis s. I also allows o apid ini ial sc eenings, cu ing down on wai imes be o e ge ing
medical ca e. P oblems exis , howe e , including issues o bias in he aining se s, accu acy o he p edic ions,
and use s mis akenly in e p e ing he indings. Ensu ing eliabili y o he sys em and in o ming use s o i s
limi a ions a e essen ial o i s success.
The p ojec will be o bene i o di e en people, such as pa ien s, s uden s, heal hca e p o essionals, and
ad oca es. Pa ien s ge access o an a o dable and easy- o-use ool o ini ial skin disease assessmen s. S uden s
pu suing In o ma ion Technology, A i icial In elligence, o Heal hca e s udies can u ilize he p ojec as a eal-
li e lea ning ool. Physicians would ind i as a help ul addi ional ool o hose cu en ly in place, and ac i is s can
use i as a means o build suppo o mo e imp o emen in A i icial In elligence echnology use wi hin medicine.
This p ojec ills he gap be ween echnology and heal hca e, making i easie and mo e e icien o manage skin
condi ions.
OBJECTIVES
This s udy aims o de elop a Sma De ma, a mobile applica ion o skin disease de ec ion using Con olu ional
Neu al Ne wo k ha will assis he use s o de ec ing possible skin diseases h ough image-based analysis. This
s udy will p o ide he use wi h a diagnosis ega ding hei skin p oblem wi hou consul a ion cha ges and long
wai o appoin men s o consul a de ma ologis .
The s udy shall ocus on he ollowing speci ic objec i es:
1. To assis use s who sel -diagnose by p o iding an applica ion ha gene a es unbiased and accu a e
in o ma ion abou skin diseases.
2. To educa e use s by se ing as an example o a diagnos ic ool ha has a simple and in ui i e i s - ime use
expe ience.
3. To de elop a diagnos ic ool o de ec ing skin diseases and ac as a p elimina y assessmen ha is ee and
accessible h ough he use mobile phones.
4. To design a use - iendly mobile applica ion ha use s would unde s and and easily na iga e h ough he
applica ion o ind wha hey’ e looking o .
5. To de elop a mobile applica ion ha will p o ide a lis o possible skin diseases, he se e i y, and desc ip ion
o i .
METHODOLOGY
This sec ion demons a ed he p ocess o de eloping Sma De ma, a mobile applica ion using con olu ional
neu al ne wo k. I encompasses he planning, designing, de eloping, es ing and launching o he esul s ensu ing
he eliabili y o he mobile applica ion. Along wi h he sys ema ic p ocess he alidi y o using he applica ion is
ga he ed h ough consul a ions, in e iews and su eys conduc ed in p o essionals, s uden s and pa ien s. The
mobile applica ion u ilizes his Agile me hodology o c edibili y, au hen ici y and eliabili y o s uc u ed
eposi o y.
A. Resea ch Design
The p oponen s ollowed Agile; he agile app oach ha highligh s he i e a i e de elopmen , lexibili y and
collabo a ion o adap e e y change and imp o emen o he applica ion. The p oponen s use he agile o ensu e
ha each i e a ion will be an imp o emen . In eg a ing use eedback which is essen ial in de eloping a mobile
applica ion wi h he pu pose o de ec ing skin diseases.
Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [116]
Figu e 1 AGILE o Sma De ma
1. Planning
The ocus du ing his phase is o de elop a de ail plan o guide he p oponen s such as by iden i ying he objec i e,
scope o he s udy, also in his pa is whe e he p oponen s will lis down all he equi emen s needed in c ea ing
he applica ion such as how he sys em will low and how he p oponen s will collabo a e wi h de ma ologis ha
will help o build and e i ying he esul s o he model.
2. Design
In his phase, he p oponen s designed he use in e ace, he low o he sys em ensu ing ha i is use iendly,
and ea u es ha will be needed in he applica ion such as he sys em a chi ec u e ha in eg a es Con olu ional
Neu al Ne wo k o analyzing images.
3. De elopmen
Du ing his phase, he de elopmen o he applica ion unde goes such as he de elopmen and he p og amming
o he on end and backend o he applica ion.
4. Tes ing
In es ing, he sys em conduc ed a ious sys em es s o gauge he accu acy and eliabili y o ensu e ha all he
ea u es and bu ons a e wo king and i will unc ion ac oss di e en phone models, e o handling mechanisms
will also be made o sol e issues du ing use in e ac ion.
5. Deploymen
In deploymen , he mobile applica ion deploys o he a ge use g oup o collec he eedback, usabili y, and
accu acy o he model's diagnosis o skin condi ions.
6. Re iew
A e he deploymen , he eedback ha comes om he a ge use e iewed o know wha a e he use s’ insigh s
ega ding he applica ion.
7. Launch
The applica ion will be eleased o he use s, and he p oponen s will p o ide suppo and will p epa e o he nex
i e a ion o de elopmen o he applica ion.
RESULTS AND DISCUSSION
A o al o 300 esponses o he su ey we e ob ained o he ou pa ien s in Ga And es Boni acio Memo ial Medical
Cen e and Jus ice Jose Abad San os Gene al Hospi al whe eas he s uden s came o Uni e sidad De Manila. The
main ocus o his s udy was o es he unc ionali ies o he applica ion o i s accu acy and he quali y o he
sys em.
A. Helping Use s Feel In o med
Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [117]
Figu e 2 Pie Cha Showing he Applica ion Should Help he use eel mo e in o med
Acco ding o he indings, 55.6% o he use s deem i app op ia e ha he applica ion should help he use s o eel
in o med be o e consul ing medical p o essionals. This indica es ha use s would like o know mo e abou hei
condi ion be o e asking o help.
B. P o iding P elimina y Diagnosis
Figu e 3 Pie Cha Showing The applica ion should p o ide a p elimina y diagnosis ha aligns wi h ypical
clinical assessmen s
The indings o his ques ion conclude ha 56.3% o he use s would like o us he applica ion’s abili y o
deli e a p elimina y diagnosis in line wi h clinical expec a ions, his u he ein o ces he ole o he applica ion
as a suppo i e ool a he han a eplacemen o p o essional ca e.
C. Iden i ying Mul iple Skin Diseases
Figu e 4 Pie Cha Showing The applica ion should be able o iden i y mul iple ypes o skin diseases, no
jus one o wo
Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [118]
Wi h he su ey, we can conclude ha 57% o he use s ind i i al ha he applica ion should be able o iden i y
mul iple ypes o skin diseases, his is al eady a i al componen o he applica ion i sel .
D. Iden i ying Common Local Skin Diseases
Figu e 5 Pie Cha Showing The applica ion should be able o iden i y common local skin diseases speci ic o
ou egion
The indings can conclude ha 57.3% o he use s deem i ele an ha he applica ion should ha e he abili y o
iden i y locally ele an skin diseases.
E. S eps Fo A Diagnosis Is Simple
Figu e 6 Pie Cha Showing The s eps o ge a diagnosis esul a e simple and s aigh o wa d
The esul s show ha 62.3% o he use s ha e highly a ed ha ha ing a simple way o ge a diagnosis is highly
appealing o hem. This shows ha use s alue a simple and e icien p ocess.
ACKNOWLEDGEMENT
We would like o exp ess ou g a i ude o ou Caps one Ad ise , M . Ronald B. Fe nandez, o his consis en
suppo , p oduc i e eedback, and encou agemen h oughou his esea ch. His commi men and inspi a ion
helped us main ain ou ocus and aim high in ou esea ch.
We would like o since ely hank D . Isid o, School Clinic Doc o o he Uni e sidad de Manila, and all he nu ses
and s a o he clinic o hei undying suppo and coope a ion. The implemen a ion o his p ojec p o ed e y
possible mos especially du ing he sys em es ing and da a ga he ing.
Special hanks go o ou G amma ian, M . Josue Co oco Mi as, LPT, MAEd, o ensu ing he manusc ip was
concise and clea .
We hank M . Ch is ian O oceo Mu illo, ou Technical Ad ise , o his aluable insigh s and sugges ions ha
g ea ly imp o ed ou sys em.
Volume-09 Issue 10, Oc obe -2025 ISSN: 2456-9348
Impac Fac o : 8.232
In e na ional Jou nal o Enginee ing Technology Resea ch Managemen
(IJETRM)
h ps://ije m.com/
IJETRM (h p://ije m.com/) [119]
We app ecia e he pa icipa ion o s a and s uden s in e alua ing he sys em and comple ing ou ques ionnai es.
Thei quali y inpu and eedback ha e played a majo ole in ou conclusion.
And no o o ge , ou iends and amily dese e g a i ude o s anding by us, suppo ing us, and belie ing in us.
Only because o hei suppo we e we able o pu sue his esea ch jou ney. Abo e all, o God.
CONCLUSION
The easibili y analysis e ealed ha AI-based solu ions can be inco po a ed in o accessible heal hca e solu ions.
This Sma De ma mobile applica ion employs a con olu ional neu al ne wo k ha helps he use ecognize he
skin diseases o ini ial ea men . This p o ed o be an e icien , use - iendly, and eliable sys em ha is exac ly
wha is needed in p elimina y de ma ological assessmen s in he Philippines. I is no designed o subs i u e
de ma ology expe s, bu is a good sc eening and eaching aid ha allows use s o make in o med choices
conce ning hei heal h. Minimalis ic and s aigh o wa d in e ac ion o use s in he applica ion ea ns a posi i e
impac on he esul s o accep ance o he mobile applica ion. The s eng h o Sma De ma applica ion lies
p ima ily in speed, esou ce e iciency and ease o use. I s eliance on he e ogeneous da ase s and i s ye o be
b oadly clinically alida ed weaknesses a e i s co e.
In summa y, Sma De ma has emendous po en ial o c ea e ech and heal hca e b idging in unde se ed egions.
I also cos e icien , eliable and use - iendly ha mo e widely esponden s accep he s udies. Al hough he
p oponen s acknowledged ha his s udy has ce ain limi a ions, i emains open o imp o emen s ha could
enhance i s quali y and be use ul in e e yday use o all use s.
REFERENCES
[1] Véliz, C. (2022). E hical issues o a i icial in elligence in medicine and heal hca e. Jou nal o Medical
E hics, 48(7), 371–375. h ps://pmc.ncbi.nlm.nih.go /a icles/PMC8826344/
[2] Liu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., ... & Coa es, M. (2020). A i icial in elligence in
de ma ology: A p ime . Jou nal o he Ame ican Academy o De ma ology, 83(4), 1220–1230.
h ps://www.sciencedi ec .com/science/a icle/pii/S0022202X2031201X
[3] Se hy, M., & Behe a, H. S. (2021). A i icial in elligence in de ma ology and heal hca e: An o e iew.
Indian Jou nal o De ma ology, Vene eology and Lep ology, 87(6), 709–720.
h ps://ijd l.com/a i icial-in elligence-in-de ma ology-and-heal hca e-an-o e iew/
[4] Liu, Y., Jain, A., Eng, C., Way, D. H., Lee, K., Bui, P., ... & Coa es, M. (2020). A deep lea ning sys em
o di e en ial diagnosis o skin diseases. Na u e Medicine, 26(6), 900–908.
h ps://pubmed.ncbi.nlm.nih.go /32424212/
[5] Villa mino, M., & Medina, R. (2023). Ailbo 2.0: A symp om checke cha bo o skin diseases o
young child en. DLSU Resea ch Cong ess P oceedings, HCT-10. h ps://www.dlsu.edu.ph/wp-
con en /uploads/pd /con e ences/ esea ch-cong ess-p oceedings/2023/HCT-10.pd
[6] Goel, S. (n.d.). De mne da ase [Da a se ]. Kaggle.
h ps://www.kaggle.com/da ase s/shubhamgoel27/de mne
