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Ai Practical File

The document is an AI project file submitted by Riju Dwivedi from Assisi Convent School, focusing on number recognition through images using artificial intelligence. It details the process of creating and training a neural network model using libraries such as OpenCV, TensorFlow, and Matplotlib, as well as the steps to identify digits from images. The project acknowledges support from family, friends, and teachers, and includes a certificate of completion for the AI practical evaluation.

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87 views10 pages

Ai Practical File

The document is an AI project file submitted by Riju Dwivedi from Assisi Convent School, focusing on number recognition through images using artificial intelligence. It details the process of creating and training a neural network model using libraries such as OpenCV, TensorFlow, and Matplotlib, as well as the steps to identify digits from images. The project acknowledges support from family, friends, and teachers, and includes a certificate of completion for the AI practical evaluation.

Uploaded by

rizztwicekill
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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CENTRAL BOARD OF SECONDARY EDUCATION

Assisi Convent School

A-43, Sector 33, Noida 201307

AI PROJECT FILE

SUBMITTED BY: Riju Dwivedi


SUBJECT TEACHER(AI): Priya Manhas Ma’amCLASS: X B
ROLL NO: 31
ACKNOWLEDGEMENT

I would like to express my gratitude, first and


foremost to my parents and some close friends
without whose help and support making this
project would have had been unimaginable.
I would also like to express my thanks to my
Artificial Intelligence teacher, Miss Priya
Mahnas Ma’am for her invaluable guidance and
support throughout the making of this project.
Lastly I would like to thank my school principal
Sister Sheeba and the administration staff for
providing me with this opportunity.

Riju dwivedi
CERTIFICATE
CONTENTS

Sn. Project TEACHER’S


SIGNATURE
1. NUMBER RECOGNITION THROUGH
IMAGES USING ARTIFICAL
INTELLIGENCE
1.1 MAKING THE MODEL AND
TRAINING IT
1.2 LOADING THE MODEL AND USING
IT TO IDENTIFY A DIGIT
1.3 OUTPUT & EXPLAINATION
1.1. Making the modal &
training it
1.2. Loading the model and
using it to identify a digit

Month January February March April May June


1.3. Output &
Explanation:-

In making of this project, I have used the


following libraries:-
1. Opencv-python
2. Matplotlib.pyplot
3. Tensorflow
4. Numpy
First, we use (training data) mnit datasets
from tensorflow.keras which is a database
which we will use to train our Neural
Network.
We use matplotlib to visualize the actual
digits. Tensorflow is important for the neural
network part.
This project is split broadly into 2 parts:-
1.making the modal
2.using it to identify a digit

Making the modal:-


We use mnit datasets which come predefined
into training and testing data to train our
neural network based modal. In this stage we
also define the number of layers, and the end
number of values the last processing layer
will receive. After training and compilation
we save our modal so that we don’t have to
train it every time we want to use it.
Using it to identify a digit:-
We, in this stage, first load our modal and
import matplotlib and numpy and opencv and
tensorflow. We first use opencv to get the
image into the format (28*28 pixel)
supported by our neural network using
functions like resize and reshape.
We then use numpy to make the prediction
and then use matplotlib to convert the results
into human readable form i.e into the digit
that the neural network perceived was being
shown to it.
CERTIFICATE
This is to certify that Riju Dwivedi , student
of Class XB , Assisi Convent School has
completed the AI PROJECT FILE during the
academic 2024-25 towards partial
fulfillment of credit for ARTIFIICIAL
INTELLIGENCE practical evaluation of
2024-25 and submitted a satisfactory
report , as compiled in the following pages

Teacher’s signature

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