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Original Article
To design and implement a Conversational Interface for a Secure and Automated Package Reception System using Flask
Neelam Kumar1
Ashish Konale2
Om Auti3
Dipali Kadam4
Abhishek Shinde5
1 Professor, Department of Computer Engineering, SRCOE, Pune, Maharashtra, India. 2 3 4 5 Student, Department of Computer Engineering, SRCOE, Pune, Maharashtra, India.
Published Online: May-August 2026
Pages: 372-378
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502041
References
1. Jacob Devlin, M. Chang, K. Lee, and K. Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language
Understanding,” Proceedings of NAACL-HLT, pp. 4171–4186, 2019.
2. S. Gupta and R. Gupta, “Hybrid Intent Detection Framework Using Rule-Based and Deep Learning Techniques,” IEEE Access, vol. 10,
pp. 11234–11245, 2022.
3. A. Rahman, M. Hasan, and S. Karim, “Context-Aware OTP Authentication Using Temporal and Semantic Filtering,” International Journal
of Information Security, vol. 21, no. 3, pp. 455–468, 2021.
4. P. Sharma and V. Jain, “Smart Authentication Systems for Secure IoT Applications,” Journal of Network and Computer Applications, vol.
168, pp. 102761, 2020.
5. Song Han, X. Zhang, and H. Mao, “Deep Compression and Edge AI for Real-Time Intelligent Systems,” Proceedings of the IEEE, vol.
108, no. 4, pp. 665–678, 2020.
6. Y. Kang et al., “Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge,” ACM SIGARCH Computer Architecture
News, vol. 45, no. 1, pp. 615–629, 2017.
7. A. Hannun et al., “Deep Speech: Scaling Up End-to-End Speech Recognition,” arXiv preprint arXiv:1412.5567, 2014.
8. Neelam LabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05
(2024)
9. Neelam Labhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture
Notes in Electrical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
10. Neelam Labhade-Kumar Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm, Communications on Applied Nonlinear Analysis, ISSN: 1074-
133XVol 31 No. 6s (2024), PP-602-617 August 2024
11. Neelam Labhade-Kumar “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and
Smart Sensors"7th International Conference on Inventive Computation Technologies, IEEE Xplore Part Number : CFP24F70-ART ;ISBN
: 979-8-3503-5929-9, 2024,PP-1961-1968
12. Dr.NeelamLabhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of
Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022
13. Dr.NeelamLabhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of
Pharmaceutical Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
14. Neelam Labhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT
Scans”, Journal of Artificial Intelligence and Technology, 2023
15. Neelam Labhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Techniques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
16. Neelam Labhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain”
Journal of environmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
17. Prof. Dr. Neelam Labhade-Kumar, An image processing method for kidney stone segmentation in CT scan images based on CNN-
regularized extreme learning machine approach, Hybrid and Advanced Technologies, PP- 217-222,202
Understanding,” Proceedings of NAACL-HLT, pp. 4171–4186, 2019.
2. S. Gupta and R. Gupta, “Hybrid Intent Detection Framework Using Rule-Based and Deep Learning Techniques,” IEEE Access, vol. 10,
pp. 11234–11245, 2022.
3. A. Rahman, M. Hasan, and S. Karim, “Context-Aware OTP Authentication Using Temporal and Semantic Filtering,” International Journal
of Information Security, vol. 21, no. 3, pp. 455–468, 2021.
4. P. Sharma and V. Jain, “Smart Authentication Systems for Secure IoT Applications,” Journal of Network and Computer Applications, vol.
168, pp. 102761, 2020.
5. Song Han, X. Zhang, and H. Mao, “Deep Compression and Edge AI for Real-Time Intelligent Systems,” Proceedings of the IEEE, vol.
108, no. 4, pp. 665–678, 2020.
6. Y. Kang et al., “Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge,” ACM SIGARCH Computer Architecture
News, vol. 45, no. 1, pp. 615–629, 2017.
7. A. Hannun et al., “Deep Speech: Scaling Up End-to-End Speech Recognition,” arXiv preprint arXiv:1412.5567, 2014.
8. Neelam LabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05
(2024)
9. Neelam Labhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture
Notes in Electrical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
10. Neelam Labhade-Kumar Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm, Communications on Applied Nonlinear Analysis, ISSN: 1074-
133XVol 31 No. 6s (2024), PP-602-617 August 2024
11. Neelam Labhade-Kumar “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and
Smart Sensors"7th International Conference on Inventive Computation Technologies, IEEE Xplore Part Number : CFP24F70-ART ;ISBN
: 979-8-3503-5929-9, 2024,PP-1961-1968
12. Dr.NeelamLabhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of
Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022
13. Dr.NeelamLabhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of
Pharmaceutical Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
14. Neelam Labhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT
Scans”, Journal of Artificial Intelligence and Technology, 2023
15. Neelam Labhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Techniques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
16. Neelam Labhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain”
Journal of environmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
17. Prof. Dr. Neelam Labhade-Kumar, An image processing method for kidney stone segmentation in CT scan images based on CNN-
regularized extreme learning machine approach, Hybrid and Advanced Technologies, PP- 217-222,202
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