Assessfy Pvt. Ltd Moderate 7 milestones 50 marks

A Model for Prediction of Tomato Crop Disease Using CNN

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

7
Milestones
1
Available mentors
0
Enrolled students
2
Core skills
About this project

A Model for Prediction of Tomato Crop Disease Using CNN

Milestones
1.
2. Data collection (disease vs. healthy images)
5 marks 5d
3. Data preprocessing and augmentation
5 marks 5d
4. CNN architecture design
5 marks 5d
5. Training, testing, and hyperparameter tuning
5 marks 5d
6. Accuracy evaluation and confusion matrix
15 marks 5d
7. Deployment plan (mobile/web app optional)
15 marks 5d
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Upcoming sessions
SessionWindowEnrolled
A Model for Prediction of Tomato Crop Disease Using CNN 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
Deep Learning (CNNs) Image Classification Python Programming Data Augmentation Model Evaluation (AccuracyConfusion Matrix)
Tools used
Python (TensorFlow/Keras or PyTorch) OpenCVNumPyMatplotlib Jupyter Notebooks or Google Colab PlantVillage or similar datasets
Prerequisites
Basics of Deep Learning and CNN architecture Python programming Understanding of image datasets and annotation
Available mentors
Priyang Kumar
Free
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You'll earn — Certificate (PDF)

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A Model for Prediction of Tomato Crop Disease Using CNN

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A Model for Prediction of Tomato Crop…
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