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Skin Monitor
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Rushanth Bala
Skin Monitor
Commits
7391416b
Commit
7391416b
authored
May 06, 2024
by
Rushanth Bala
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7391416b
IT21010194 | Lakshana K
Sub Objective
Predicting the skin disease based on the skin tone
using the image uploaded
Tasks
1.
Analyze and clean dataset.
2.
Assess accuracy across 3-4 ML algorithms.
3.
Develop a model using the most accurate algorithms.
4.
Evaluate the model through testing and outcome prediction.
5.
Validate the model's effectiveness.
Novelty
This valuable information empowers individuals to discern skin diseases
by recognizing specific nuances in their skin tones.
Early identification based on these subtle variations facilitates prompt intervention and tailored treatment.
It enhances awareness about the diverse manifestations of skin conditions across different skin tones. Ultimately,
this knowledge fosters proactive self-care and timely medical
IT21150098 | Rushanth B
Sub Objective
Calculation of effective percentage and cure percentage
Tasks
1.
Analyze and clean dataset.
2.
Assess accuracy across 3-4 ML algorithms.
3.
Develop a model using the most accurate algorithms.
4.
Evaluate the model through testing and outcome prediction.
5.
Validate the model's effectiveness.
Novelty
Utilizing the effective percentage aids in predicting the current disease stage, offering insights into its progression.
Comparing this with the earliest stage allows for analyzing the extent of successful treatment.
This data-driven approach informs decisions on ongoing care and underscores the importance of adaptive interventions.
IT19178882 | Sujeevan K
Sub Objective
Based on the effective percentage providing solutions for early-stage diseases (in text format and audio format by recommending the video)
Tasks
1.
Analyze and clean dataset.
2.
Assess accuracy across 3-4 ML algorithms.
3.
Develop a model using the most accurate algorithms.
4.
Evaluate the model through testing and outcome prediction.
5.
Validate the model's effectiveness.
Novelty
Utilizing both text and audio formats enhances solution accessibility for those with speaking disabilities.
Video demonstrations further amplify effectiveness by providing visual guidance for recommended treatments for early-stage diseases.
This multi-modal approach caters to diverse learning preferences and ensures inclusive communication.
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