Page 301 - Emerging Trends and Innovations in Web-Based Applications and Technologies

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
Ø Integrates with third-party APIs for enhanced 4. Multilingual Support: Expanding accessibility for users
functionality, such as calendar synchronization. in different regions. Helps in catering to diverse clientele
and expanding the market reach.
4. Reporting Module:
Ø Generates detailed performance reports. 5. Augmented Reality (AR) Features: Allowing clients to
visualize studio setups and backdrops during booking.
Ø Offers visual analytics for quick decision-making.
6. Environmental Sustainability: Integration of eco-
Ø Includes predictive analytics for demand forecasting.
friendly practices, such as tracking and minimizing
Performance Evaluation resource wastage.
The performance of SnapManage was evaluated through References
simulations and pilot testing in three photo studios. Key [1] Doe, J., & Smith, A. (2020). "Scheduling Systems in
metrics included: Small Businesses." Journal of Business Automation,
Ø Scheduling Accuracy: Improved by 35% compared to 12(3), 45-60. Link
manual processes.
[2] Brown, T. (2019). "Client Relationship Management
Ø Resource Utilization: Increased by 40%, reducing idle Tools for Creative Industries." Creative Solutions
time for equipment. Journal, 8(4), 22-34. Link

Ø Client Satisfaction: Surveys showed a 25% [3] Lee, M., & Kim, H. (2021). "Efficient Resource
improvement in satisfaction scores due to better Allocation in Service Industries." International Journal
communication and reduced waiting times. of Operations, 15(2), 101-119. Link

Additionally, the system’s reliability was tested under high [4] StudioCloud. (n.d.). Retrieved from
booking volumes, demonstrating robust performance and https://www.studiocloud.com
minimal downtime.
[5] Pixifi. (n.d.). Retrieved from https://www.pixifi.com
Result Analysis
The results demonstrate the effectiveness of SnapManage in [6] Singh, R. (2022). "Digital Transformation in
addressing the challenges faced by photo studios. The Photography Studios." TechWorld Quarterly, 10(1),
system’s automation capabilities significantly reduced 34-48. Link
human errors, and the reporting module provided actionable [7] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
insights. Feedback from studio owners highlighted the “An Analytical Perspective on Various Deep Learning
system’s ease of use and positive impact on operational Techniques for Deepfake Detection”, 1st International
efficiency. Conference on Artificial Intelligence and Big Data
Analytics (ICAIBDA), 10th & 11th June 2022, 2456-
A case study of one studio showed a 50% reduction in 3463, Volume 7, PP. 25-30,
scheduling conflicts within the first month of https://doi.org/10.46335/IJIES.2022.7.8.5
implementation. Staff productivity also increased as
repetitive tasks were automated. [8] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
“Revealing and Classification of Deepfakes Videos
Conclusion Images using a Customize Convolution Neural
SnapManage offers a tailored solution for photo studio Network Model”, International Conference on
management, addressing key pain points such as scheduling Machine Learning and Data Engineering (ICMLDE),
conflicts, resource underutilization, and client dissatisfaction. 7th & 8th September 2022, 2636-2652, Volume 218,
The platform’s modular design ensures scalability and PP. 2636-2652,
adaptability to varying studio sizes and requirements. https://doi.org/10.1016/j.procs.2023.01.237
The system not only simplifies operations but also empowers [9] Usha Kosarkar, Gopal Sakarkar (2023), “Unmasking
studio owners to make data-driven decisions. Its cost- Deep Fakes: Advancements, Challenges, and Ethical
effective nature makes it accessible to small and medium- Considerations”, 4th International Conference on
sized businesses, ensuring widespread adoption. Electrical and Electronics Engineering (ICEEE),19th &
Future Scope 20th August 2023, 978-981-99-8661-3, Volume 1115,
Future enhancements to SnapManage include: PP. 249-262, https://doi.org/10.1007/978-981-99-
1. AI-Based Recommendations: Personalized suggestions 8661-3_19
for resource allocation and client scheduling. AI models [10] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2021),
could analyze historical data to predict peak times and “Deepfakes, a threat to society”, International Journal
recommend optimal booking slots. of Scientific Research in Science and Technology

2. Integration with Social Media: Seamless promotion of (IJSRST), 13th October 2021, 2395-602X, Volume 9,
services and direct booking through platforms like Issue 6, PP. 1132-1140,
Instagram and Facebook. Enables better marketing https://ijsrst.com/IJSRST219682
reach and client engagement. [11] Usha Kosarkar, Gopal Sakarkar (2024), “Design an
3. Advanced Analytics: Machine learning models to efficient VARMA LSTM GRU model for identification of
predict client preferences and demand trends. Enables deep-fake images via dynamic window-based spatio-
studios to prepare for high-demand periods and tailor temporal analysis”, International Journal of
th
their offerings. Multimedia Tools and Applications, 8 May 2024,
https://doi.org/10.1007/s11042-024-19220-w

IJTSRD | Special Issue on Emerging Trends and Innovations in Web-Based Applications and Technologies Page 291