AI-Powered Malaria Detection Platform by Vinay GajulaAI-Powered Malaria Detection Platform by Vinay Gajula

AI-Powered Malaria Detection Platform

Portfolio project
Vinay Gajula
View completed work

Parasite detection platform

MalariaScope's cutting-edge AI model analyzes blood smear images with 99.2% accuracy, detecting even low-level Plasmodium parasitemia in seconds. Our 3D visualization technology helps medical professionals make faster, more accurate diagnoses.

Skills

Tensorflow
CNN
FastAPI
Image Classification
#Model structure
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPool2D
  
t_model= Sequential([
    tf.keras.layers.InputLayer(shape=(IM_SIZE, IM_SIZE, 3)),

    Conv2D(6, 3, strides=1, padding="valid", activation="relu"),
    tf.keras.layers.BatchNormalization(),
    MaxPool2D(pool_size=(2,2), strides=2),

    Conv2D(16, 3, strides=1, padding="valid", activation="relu"),
    tf.keras.layers.BatchNormalization(),
    MaxPool2D(pool_size=(2,2), strides=2),

    Flatten(),
    ByteMindDense(120, activation="relu"),
    tf.keras.layers.BatchNormalization(),

    ByteMindDense(84, activation="relu"),
    tf.keras.layers.BatchNormalization(),
    ByteMindDense(1, activation="sigmoid")
])
t_model.summary()

Visit my portfolio website to test out dummy examples

0 likes · 8 views · May 24, 2025

Developed AI model for malaria detection with 99.2% accuracy.

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