Digital India: Tracking The Growth Of E- Governance Initiatives
Abstract
The Indian government's ambitious effort, Digital
India, aims to make India a knowledge economy
and society enabled by technology. Implementing e
Governance, which focuses on using digital
technologies to deliver government services more
effectively and transparently, is one of the main
pillars of Digital India. The development of e
Government programs in India, examining the
expansion, difficulties, and effects of many digital
platforms that have been implemented over time.
Political, social, and economic obstacles to the
broad use of e-Government include the need for
capacity building, cybersecurity issues, and the
digital divide. It offers insights into how well e
Government works to improve public service
delivery, foster transparency, and propel
socioeconomic development throughout India by
monitoring the milestones and results of various
efforts. The paper highlights a number of important
initiatives, including the National e-Governance
Plan, the Digital India Program, the integration of
services like e-District and e-Office, and the use of
Aadhaar for identity and verification. Additionally,
how digital literacy, public-private partnerships,
and technical infrastructure contribute to the
success of these efforts. Aadhaar, Digital Locker,
PMGDISHA (Pradhan Mantri Gramin Digital
Saksharta Abhiyan), and the Bharat Net project,
which provides high-speed internet to rural areas
are among the initiatives that are severely analyzed.
Reducing the disparity between rural and urban
areas' access to technology and making India a
leading digital economy are the goals.
Downloads
References
1. BBC News, Digital India: The Challenges Facing
Narendra Modi. BBC News, 01 July, 2015.
Available At: https://www.bbc.com/news/world
asiaindia-33340425. 2. Dhar mara Samaya. The
current state of cyber.
2. Paul J. Narrowing the Digital Divide: Initiatives
Under taken by the Association of South-East Asian
Nations (ASEAN). Program: Electronic Library and
Information Systems 2002; 36(1):13-22.
3. Jain, V., & Sharma, M. (2019). MyGov:
Empowering citizens through digital governance in
India. Public Administration Review, 79(5)
4. Mehta, R. (2015). Digital India: Vision for a new
India. National Book Trust.
5. Kaur, A., & Soni, A. (2018). Digital India:
Evolution, progress, and challenges. International
Journal of Engineering and Technology, 10(1), 75
82.
6. Wirtz, B. W., & Langer, P. (2019). The role of e
government in the digital transformation of public
administration.
7. D Shanthi, N Swapna, Ajmeera Kiran and A
Anoosha,
"Ensemble
Approach
Of
GPACOTPSOAnd SNN For Predicting Software
Reliability",International Journal Of Engineering
Systems Modelling And Simulation, 2022.
8. Jayanna, SP., S. Venkateswarlu, B. Ishwarya
Bharathi, CH. Mahitha, P. Praharshitha, and K.
Nikhitha. 2025. “Fake Social Media Profile
Detection And Reporting”. Metallurgical and
Materials Engineering, May, 965-71. https://metall
mater-eng.com/index.php/home/article/view/1669.
9.
Priyanka, M. T. S. ., Divya, D. N. ., Sruthi, A. .,
Prasanna, S. L. ., Sahithi, B. ., & Jyothsna, P. .
(2025). Domain Detector - An Efficient Approach Of
Machine Learning For Detecting Malicious
Websites. Metallurgical and Materials Engineering,
903–911. Retrieved from https://metall-mater
eng.com/index.php/home/article/view/1663
10. Geetha, M. D. . ., Haritha, M., Pavani, B. ., Srivalli,
C. ., Chervitha, P., & Ishrath, S. . (2025). Eco Earn:
E-Waste Facility Locator. Metallurgical and
Materials Engineering, 767–773. Retrieved from
https://metall-mater
eng.com/index.php/home/article/view/1632.
11. D Shanthi, Smart Healthcare for Pregnant Women in
Rural
Areas, Medical Imaging and Health
Informatics, Wiley Publishers,ch-17, pg.no:317-334,
2022, https://doi.org/10.1002/9781119819165.ch17
12. D.Shanthi, R. K. Mohanty and G. Narsimha,
"Application of machine learning reliability data
sets", Proc. 2nd Int. Conf. Intell. Comput. Control
Syst. (ICICCS), pp. 1472-1474, 2018.
13. D.Shanthi, "Ensemble Approach of ACOT and PSO
for Predicting Software Reliability", 2021 Sixth
International Conference on Image Information
Processing (ICIIP), pp. 202-207, 2021.
14. D Shanthi, CH Sankeerthana and R Usha Rani,
"Spiking Neural Networks for Predicting Software
Reliability", ICICNIS 2020, January 2021, [online]
Available: https://ssrn.com/abstract=3769088.
15. Shanthi, D. (2023). Smart Water Bottle with Smart
Technology. In the Handbook of Artificial
Intelligence (pp. 204-219). Bentham Science
16. Babu,
Mr.
Suryavamshi
Sandeep,
S.V.
Suryanarayana, M. Sruthi, P. Bhagya Lakshmi, T.
Sravanthi, and M. Spandana. 2025. “Enhancing
Sentiment Analysis With Emotion And Sarcasm
Detection:
A Transformer-Based Approach”.
Metallurgical and Materials Engineering, May, 794
803.
https://metall-mater
eng.com/index.php/home/article/view/1634.
17. Narmada, J., Dr.N.Divya, K. Sruthi, P. Harshitha, D.
Suchitha, and D.Veera Reddy. 2025. “Ai-Powered
Chacha Chaudhary Mascot For Ganga Conservation
Awareness”.
Metallurgical
and
Materials
Engineering, May, 761-66. https://metall-mater
eng.com/index.php/home/article/view/1631.
18. P. Shilpasri PS, C.Mounika C, Akella P, N.Shreya N,
Nandini M, Yadav PK. Rescuenet: An Integrated
Emergency Coordination And Alert System. J
Neonatal Surg [Internet]. 2025May13 [cited
2025May17];14(23S):286-91.
Available
from:
https://www.jneonatalsurg.com/index.php/jns/articl
e/view/5738
19. P. K. Bolisetty and Midhunchakkaravarthy,
"Comparative Analysis of Software Reliability
Prediction and Optimization using Machine
Learning
Algorithms,"
Conference
on
2025
Intelligent
International
Systems
and
Computational Networks (ICISCN), Bidar,
20. Priyanka, Mrs. T. Dr.Preethi Jeevan, A. Sruthi, S.
Laxmi Prasanna, B. Sahithi, and P. Jyothsna. 2025.
“Domain Detector - An Efficient Approach of
Machine Learning For Detecting Malicious
Websites”. Metallurgical and Materials Engineering,
May, 903-11.
21. Jayanna, SP., S. Venkateswarlu, B. Ishwarya
Bharathi, CH. Mahitha, P. Praharshitha, and K Nikhitha. 2025. “Fake Social Media Profile
Detection and Reporting”. Metallurgical and
Materials Engineering, May, 965-71.
22. Parupati K, Reddy Kaithi R. Speech-Driven
Academic Records Delivery System. J Neonatal
Surg
[Internet].
2025Apr.28
2025May23];14(19S):292-9.
Available
[cited
from:
https://www.jneonatalsurg.com/index.php/jns/articl
e/view/4767
23. Srilatha, Mrs. A., R. Usha Rani, Reethu Yadav,
Ruchitha Reddy, Laxmi Sathwika, and N. Bhargav
Krishna. 2025. “Learn Rights: A Gamified Ai
Powered Platform For Legal Literacy And
Children’s
Rights
Awareness
In
India”.
Metallurgical and Materials Engineering, May, 592
98.
https://metall-mater
eng.com/index.php/home/article/view/1611.
24. Shanthi, D., Aryan, S. R., Harshitha, K., &
Malgireddy, S. (2023, December). Smart Helmet. In
the International Conference on Advances in
Computational Intelligence (pp. 1-17). Cham:
Springer Nature Switzerland.
25. P. K. Bolisetty and Midhunchakkaravarthy,
"Comparative Analysis of Software Reliability
Prediction and Optimization using Machine
Learning
Algorithms,"
Conference
on
2025
Intelligent
International
Systems
and
Computational Networks (ICISCN), Bidar, India,
2025,
pp.
1-4,
doi:
10.1109/ICISCN64258.2025.10934209.
26. D Shanthi, “Early stage breast cancer detection using
ensemble approach of random forest classifier
algorithm”, Onkologia i Radioterapia 16 (4:1-6), 1
6, 2022.
27. D Shanthi, "The Effects of a Spiking Neural Network
on Indian Classical Music", International Journal of
Emerging Technologies and Innovative Research
(www.jetir.org | UGC and issn Approved),
ISSN:2349-5162, Vol.9, Issue 3, page no. ppa195
a201, March-2022
28. Parupati K, Reddy Kaithi R. Speech-Driven
Academic Records Delivery System. J Neonatal
Surg
[Internet].
2025
2025May23];14(19S):292-9.
Apr.28
Available
[cited
from:
https://www.jneonatalsurg.com/index.php/jns/articl
e/view/4767
29. Dr.D.Shanthi and Dr.R.Usha Rani, “ Network
Security
Project
Management”,
ADALYA
JOURNAL, ISSN NO: 1301-2746, PageNo: 1137 –
1148, Volume 9, Issue 3, March 2020
DOI:16.10089.AJ.2020.V9I3.285311.7101
30. D. Shanthi, R. K. Mohanthy, and G. Narsimha,
“Hybridization of ACOT and PSO to predict
Software Reliability ”, International Journal Pure and
Applied Mathematics, Vol. 119, No. 12, pp. 13089 -
13104, 2018.
31. D. Shanthi, R.K. Mohanthy, and G. Narsimha,
“Application of swarm Intelligence to predict
Software Reliability ”, International Journal Pure and Applied Mathematics, Vol. 119, No. 14, pp. 109 -
115, 2018.
