Language
barriers
are
a
major
problem
in
the
healthcare
industry
because
they
restrict
access
to
essential
medical
information,
which
prevents
professionals
from
making
well-informed
decisions.
The
goal
of
this
project
is
create
solution
that
can
overcome
barrier.
This
utilises
3-step
approach,
combining
Medical
Term
Translation
API,
Text
Summarizer,
and
Browser
Extension.
integrated
could
enhance
literacy
help
make
decisions
healthcare.
large
set
users
understand
vital
information
also
enables
them
become
more
involved
their
informed
choices
about
treatment.
2022 IEEE 7th International conference for Convergence in Technology (I2CT),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 5, 2024
In
this
fast-growing
world,
the
need
for
choosing
or
booking
a
ride
is
increasing.
Since
fare
displayed
on
apps
such
as
Uber,
Rapido,
etc.,
and
after
completed
differ,
it
imperative
to
predict
fare.
There
large
difference
in
those
prices.
To
address
these
issues,
an
optimized
model
prediction
should
be
there.
These
rideshare
services
brought
change
transportation
system
but
predicting
has
change.
The
study
presents
various
machine-learning
models
of
regression
Selection
Operator
regressor,
Elastic-Net
Ridge
Random
Forest
Least
Absolute
Shrinkage,
XGBoost
regressor.
regressor
outperformed
its
counterparts
with
R2
value
0.9734.
After
are
applied
label
values
classified
into
three
categories:
high,
medium,
low.
obtained
ordinal
given
classification
algorithms
like
Naive
Bayes,
Extra
Trees
classifier,
Support
Vector
Machine,
Multi-layer
Perceptron
applied.
A
comparative
analysis
done
SVM
performed
best
F1
score
99.53.
2022 IEEE 7th International conference for Convergence in Technology (I2CT),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 5, 2024
Facial
recognition
has
been
nowadays
a
key
role
in
computer
field.
The
rapid
advancement
of
Machine
Learning
techniques
revolutionizing
the
field
vision.
This
paper
presents
comprehensive
investigation
into
application
techniques.
study
comprehensively
reviews
various
state-of-the-art
facial
and
ocular
algorithms.
These
modern
learning
help
to
concatenate
model
which
exist.
A
detailed
examination
dataset
evaluation
metrics
are
used
for
assessing
detection
performance
is
also
presented
provide
foundation
comparative
analysis.
article
designing
implementing
novel
models
face
eye
detection.
Inception
v3
was
assist
removing
overfitting
using
efficient
convolution
parallel
layers.
contributes
ongoing
discourse
on
approaches
by
providing
new
examples,
reviews,
ethical
considerations.
focuses
capabilities
Multi-task
Cascaded
Convolutional
Networks
(MTCNN)
precise
Additionally,
incorporates
interpretability
methodologies
such
as
LIME(Local
Interpretable
Model-agnostic
Explanations).
results
this
have
important
implications
development
more
accurate,
efficient,
responsible
visual
systems,
widely
industries.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI),
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 8
Language
barriers
are
a
major
problem
in
the
healthcare
industry
because
they
restrict
access
to
essential
medical
information,
which
prevents
professionals
from
making
well-informed
decisions.
The
goal
of
this
project
is
create
solution
that
can
overcome
barrier.
This
utilises
3-step
approach,
combining
Medical
Term
Translation
API,
Text
Summarizer,
and
Browser
Extension.
integrated
could
enhance
literacy
help
make
decisions
healthcare.
large
set
users
understand
vital
information
also
enables
them
become
more
involved
their
informed
choices
about
treatment.
