Deepfake Video Detection Using MobileNet-LSTM Model
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Summary
Designed and implemented an advanced deepfake video detection system utilizing a hybrid MobileNet-LSTM model to enhance identification accuracy and address real-time challenges.
Nitin Reddy Dongale
Artificial Intelligence & Machine Learning Engineer
Bengaluru, IN.About
Highly motivated Artificial Intelligence and Machine Learning graduate with a strong academic foundation (CGP 8.0/10) and practical experience in developing innovative solutions. Proven ability to design and implement deep learning models, optimize database systems, and develop AI-powered applications, as demonstrated in projects like the Deepfake Video Detection System and Vehicle Parking Management System. Eager to leverage technical expertise and a proactive problem-solving mindset to contribute to a dynamic, forward-looking organization and drive impactful technological advancements.
Education
The Oxford College of Engineering, Karnataka
Bengaluru, Karnataka, India
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Bachelor of Technology
Artificial Intelligence and Machine Learning
Grade: CGP – 8.0/10
Shaheen independent PU college, Bidar
Bidar, Karnataka, India
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Pre-University
Pre-University Studies
Grade: 89%
References
Projects
Vehicle Parking Management Using SQL
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Summary
Constructed a SQL-based vehicle parking management system to automate data entry, improve operational efficiency, and enhance user experience with real-time availability features.
Work
COMPSOFT TECHNOLOGIES
|Research Intern
Bengaluru, Karnataka, India
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Summary
Contributed as a Research Intern, developing a Python and machine learning-powered healthcare chatbot and gaining practical experience in AI/ML analytics.
Highlights
Developed a healthcare chatbot using Python and machine learning, optimizing performance and delivering the project within a tight 2-month deadline.
Applied machine learning principles to enhance problem-solving and design skills, contributing to the successful implementation of the chatbot's core functionalities.
Gained hands-on experience in machine learning model development and data analytics, strengthening technical capabilities applicable to real-world AI challenges.