The aim of AI is to learn, adapt, and think. It must demonstrate behaviors we associate with human intelligence.

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Artificial Intelligence

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The aim of AI is to learn, adapt, and think. It must demonstrate behaviors we associate with
human intelligence. Any combinations of the following :
What is AI
Planning Problem
Solving
Reasoning Learning Perception Recognition
Narrow AI
Also referred to as Weak AI, focuses on one task.
There is no self-awareness or genuine intelligence.
Narrow AI programs can book a restaurant table for
you, or even identify surface defect on Concrete.
But the same system can't do both.
General AI
Also referred to as True AI, is a computer that is as
smart as the human brain. This sort of AI will be
able to perform all tasks that a human could do.
We should be imagining Matrix or I-Robot here.

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Customized machine
learning model based on
an individual business
requirements.
CUSTOMISE
Data secured &
Quality Assured.
QUALITY
We specialise in
Characterized Data Cleaning
& Hyper tuned Model
training for the best
accuracy.
SPECIALISE
WHAT WE DO
What We Do

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Extensive knowledge of
mortgage banking and
experience with lending
organizations.
Banking & Finance
Others
We offer dedicated
solutions to other
industries which focus to
grow business digitally.
Part of AAPNA’s social
initiative, serving several
social organizations and
personally invested in
defining solutions.
Waste Segregation
Unmatched experience in Chronic
Care, largest portal of syndicated
content, related to Cancer and
Involvement in revolutionary work.
Healthcare
Our Domains
Dynamic Pricing
Product recommendor system
Disease Symptoms Identify.
XRAY Disease Classification.

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ARTIFICIAL
INTELLIGENCE
MACHINE
LEARNING
DEEP
LEARNING
Association Rules
• Apriori Algorithm
Regression
• Prediction /Classification
OpenCV
• Image Classification
• Object Detection
• Object Tracking
• Segmentation
• Artificial Neural Network
• Convolution Neural Network
• Recurrent Neural Network
• Long Short Term Memory
• Regression - Linear
• Classification - Logistic R, Naive
Bayes, Support Vector Machine,
K-NN.
• Clustering - K means, Hierarchical.
• Decision Trees
Algorithms
Tools
Data Science
Natural Language Processing
Computer Vision
NLTK / SpaCy
• Sentiment
• Classification
• Entity Extraction
• Translation
• Topic Modelling
Technology

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Development Cycle

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OURPROJECTS
01
Facial Attendance
System
Signature
Extraction &
Verification
AI Demo Web-
APP
AI Waste
Monitoring
Extracts and Verifies
the signature from a
standardized
mortgage application
using Siamese Neural
Network.
Consolidated our AI
applications into a
single web application
using Python web
framework Django.
Classifies the waste
images into multiple
categories, further also
identify as a
biodegradable or non-
biodegradable waste.
• Image Classification
• Object Detection
The attendance will be
marked based on facial
recognition of the
person automatically
when he/she enters
the office.
• Linear Binary
Pattern
Histogram (LPH)

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Knowing the designated coordinates of the borrower and co-borrower signatures
from all pages of mortgage form, we are detecting and extracting the signatures.
Extracted SignaturesForm 1
Signature Extraction

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We trained the open-source dataset of 55 people containing 24 genuine and 24 forged images on
Siamese Neural Network to get the difference score among two image vectors. Thus, classifying any new
candidate signature into genuine or forged signature.
Challenge: ● Time Consuming, &
● Manual Form Processing
Solution:
Signature Verification

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Challenge:
Solution:
Smart Attendance Monitoring System:
The quicker biometric verification solution is
the need of an hour.
● Face recognition technology using:
● Linear Binary Pattern Histogram (LPH)
algorithm, and
● Haar Cascade classifier for Employee’s
Attendance System.
● The attendance will be marked based on facial
recognition of the person automatically when
he/she enters the office.
Brief working of the system is to recognize real
time human faces. The detected faces are matched
against the reference faces in the dataset and
marked the attendance for the employees with a
greeting message said aloud through voice
conversion system. Finally, the attendance is
stored in binary as well as csv file for further user-
friendly operations.
Facial Recognition Based Attendance Monitoring
System

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Challenge:
Solution:
Waste management is a crucial concern in
India.
There is no automated waste segregation
strategy at day to day household as well as
Industry employs semi-automated
machines for segregation. Hand-operated
segregation of waste is deleterious to
labour's health.
● Artificial Intelligence Deep learning
algorithm.
● The image is fed into Convolution Neural
Network for prediction and classification
into multi-class categories such as
biodegradable and non-biodegradable.
● HSV Color Segmentation to automate
counting of trashbags.
Image Classification
Waste Segregation

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● AI Demo Web-App is showcase of all
machine learning PoCs on-going at
AAPNA’s Innovation lab.
● Django is a Python based Web framework.
● It supports multi-thread programming to
effectively execute TensorFlow and other
Python AI libraries.
● It follows Model View Template
architecture for easy development
process.
● Object Relational Mapper with SQLite
Database helps for contribution to dataset
and schedule a retrain of (learning
algorithm) model on the cloud for better
accuracy.
AI Demo Web-App

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Object Detection can detect
and localize objects upto 80
classes. Leveraged pretrained
You Only Look Once
Architecture on COCO Dataset.
Some Applications
● Surveillance
● Crowd Counting
● Identification
Object Detection

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● They make life easier for customers,
● They are available 24/7, save time
(no more long waits to talk to a
service rep), and
● They are easy to use.
A Chatbot can have a conversation with
a person using rules and Artificial
Intelligence (AI) in a way that mimics
human-like conversations and
interactions.
Applications
● Content delivery
● Order Food
● Book Flights
● Market Research
● Health Care
● Legal Advices
Benefits
Chatbot

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aroy@aapnainfotech.com +91 989 950 0454
For further details please contact -
Abhijit Roy
THANK YOU
Extremely passionate and highly experienced team
Structured into multiple self contained units, which operate independently - supported by specialist shared teams
Dedicated QA teams and processes to support our passion for extreme quality