centralized nasha mukti database

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GOVERNMENT COLLEGE OF ENGINEERING, AMRAVATI
OCTOBER 2030
SMART INDIA HACKATHON-2023
CENTRALISED NASHA MUKTI DATABASE
TEAM TECH TITANS
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TABLE OF
CONTENTS
01
04
Problem Statement
Tools and Technology
02
05
Abstract
Result
03
06
Features of Project
Conclusion
3
MEET THE TEAM
Snehal Bharsakle
Akanksha shewatkar
Janhavi alekar
Akanksha Tapase
Vijay mundhe
Aryan Bhokare
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PROBLEM STATEMENT
Details of counselling and De-Addiction
interventions provided to the beneficiaries at
facilities supported by MoSJE is not available on
a single platform, which could help in analysis
of patient-wise, center- wise or State- wise
details of services provided, beneficiaries
reachedand other relevant details.
ORGANISATION
Ministry of Social Justice and Empowerment
DOMAIN BUCKET
Miscellaneous
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ABSTRACT
MISSION AND VISION
In this project, we will make Web Based database
software which will have Details of counselling
and De-Addiction interventions provided to the
beneficiaries at facilities supported by MoSJE
that can search for Nasha Mukti centers
patient-wise, center- wise or State- wise within
a country. We will use Blockchain technology to
store the data securely which cannot be tampered
by any third party intruder. Also, we will use
efficient Machine Learning algorithms for big
data searching and database can be accessed by
only Authorized Admins. We we will be also
providing Artificial Intelligent Chatbot Facility
for users to make their searching Process Easier.
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TOOLS AND TECHNOLOGIES
1. Web Develoipment
3. Artificial Intelligence
2. Blockchain
04. Data Analysis
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Solution
The solution designed to address the problem of
lack of centralized data on counselling and
de-addiction interventions provided to
beneficiaries at facilities supported by MoSJE is
to develop a web-based platform that will collect
and store data from all of these facilities. This
platform will allow for the analysis of
patient-wise, center-wise, and state-wise details
of services provided, beneficiaries reached, and
other relevant details.
The platform could be designed to collect the
following types of data
PATIENT-WISE
CENTER-WISE
STATE-WISE
This could include information about the types of
counselling and de-addiction services that are
being offered at the center, the number of staff
members, and the number of patients who are being
served.
his could include demographic information, such
as age, gender, and location, as well as
information about the patient's substance use
history and treatment progress.
his could include aggregated data on the number
of people who are using counselling and
de-addiction services in each state, as well as
the types of services that are being offered.
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IMPLEMENTATION

• Database

• Artificial Inteligence

• Data Analysis

Reports and dashboard creation using BI tools
like power-BI Data analysis using python
SQL-Database Handling Blockchain-We have used
solidity to store data using smart contracts to
use its merits of immutability in our favour.
Chatbot integration using machine learning and AI
technology to provide easy access and analysed
data searching Google Maps api integration for
location based services.

• Web Development

• Server implementation

using cloud based database integration for live
data
React.js- Front end developement node.js-Server
Deployment
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KEY FEATURES
01. Real-time data collection.
03. User-friendly interface.
02. Comprehensive reporting.
04. Secure data storage.
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FEATURES
1. A centralised database where all relevant data
related to counselling and de-addiction
interventions is stored.
2. User friendly interface that allows authorised
personnel to access Report generation analyse
data easily
3. Chatbot integration using machine learning and
AI technology to provide easy access and analysed
data searching
4.Google Maps api integration for location based
services.
5.The data from database will be immutable To
external stimuli
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Result Webpage
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Dashboard
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1
Improved Accessibility The centralized platform
will make information readily accessible to
authorized personnel, making it easier to track
patient-wise, center-wise, or state-wise details
of services provided.
CONCLUSIONS
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Chatbot integration using machine learning and AI
technology to provide easy access and analysed
data searching
3
Improved Accessibility The centralized platform
will make information readily accessible to
authorized personnel, making it easier to track
patient-wise, center-wise, or state-wise details
of services provided.
4
Increased transparency The platform will make it
easier for the public to access information about
the counselling and de-addiction services that
are being provided
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The platform could also be used to generate
reports that provide insights into the
effectiveness of different counselling and
de-addiction interventions
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Government College of engineering, Amravati
THANK YOU