Experience

Co-authored the research paper Early Detection of Forest Fire Using Fine-tuned MobileNetV2: A Lightweight Deep Learning Approach.

Focused on creating a lightweight model suitable for low-resource, fire-prone environments where early detection is critical.

Presented the work at ISMS 2024-25 (Feb 22-23, 2025).

Published in SCOPUS-indexed Springer LNNS proceedings.

Authors: Prathamjyot Singh, Dr. Sanjeev Rao, Yugan Dhar, Moksh Sharma

Co-authored the paper “AI-Driven Legal Summarization: A Hybrid Framework Integrating Automatic Speech Recognition, Diarization, and BART for Courtroom Proceedings,” accepted for presentation at IC3 2025.

Designed an end-to-end pipeline integrating ASR, speaker diarization, and transformer-based summarization to automate legal documentation.

Presented the work at IC3 2025 (Aug 7-9, 2025).

The paper was accepted among the top 35% of submissions and will be published in the IEEE Xplore digital library.

Authors: Prathamjyot Singh, Dr. Sanjeev Rao, Dr. Jasmeet Singh, Yugan Dhar, Moksh Sharma, Pranav Chawla

Achieved Kaggle Expert status in Datasets, Notebooks, and Discussions.

Ranked under 800 in Notebooks, Discussions, and under 400 in Datasets (as of Feb 22, 2025).

Contributed high-quality datasets and notebooks, actively engaged in community learning.

Profile: Kaggle Profile

Certified Expert in multiple Kaggle competitions and challenges.

Completed intensive 6-week ML/DL training program covering fundamental concepts and advanced techniques.

Hands-on experience with TensorFlow, PyTorch, and various deep learning architectures.

Developed practical projects in computer vision and natural language processing.

Gained expertise in model optimization, hyperparameter tuning, and deployment strategies.

Received certification for successful completion of the comprehensive ML/DL training program.

Participated in comprehensive 2-month Machine Learning program conducted by industry experts.

Covered advanced topics including ensemble methods, neural networks, and real-world applications.

Collaborated with peers on challenging ML projects and competitions.

Enhanced practical skills in data preprocessing, feature engineering, and model evaluation.

Awarded certificate for successful completion of the advanced Machine Learning program.

Competed in MAKEATHON5, a 24-hour hybrid hackathon focused on innovative problem-solving.

Developed creative solutions using cutting-edge technologies and frameworks.

Collaborated effectively in team environment under time pressure.

Gained experience in rapid prototyping and presentation skills.

Received participation certificate for successful completion of MAKEATHON5 hackathon.

Participated in 36-hour OWASP Hackathon focused on innovation and problem-solving.

Developed creative solutions using modern technologies and frameworks.

Collaborated with diverse teams to solve real-world challenges.

Enhanced problem-solving skills and rapid prototyping abilities.

Awarded participation certificate for successful completion of OWASP Innovation Hackathon.

Active participant on LeetCode and InterviewBit platforms.

Solve algorithmic problems and improve coding efficiency.

Maintain consistent practice to enhance problem-solving skills.

Contribute to programming communities and share knowledge.

Certified participant with verified profiles on both competitive programming platforms.