Hi, I'm Abhinav Singh Bhadauriya
Software Engineer | AI/ML Specialist
A passionate third-year B.Tech student with expertise in Python, Data Analysis, AI, and ML. Building innovative solutions to solve real-world challenges.
About Me
I am a third-year B.Tech student with expertise in Python, Data Analysis, Power BI, SQL, Data Science, AI, and ML. I have developed projects like a Laboratory Management System and an AI-powered Deepfake Detection Model.
Additionally, I have won hackathons at IIIT Gwalior and NIT Bhopal, showcasing my problem-solving and innovation skills. Passionate about AI and ML, I continuously explore new advancements to solve real-world challenges.
ITM UNIVERSITY
B.Tech Computer Science & Engineering (Specialized in AIML)
2022-2026
CGPA - 8.48
- •Second Position in National Level Hackathon at IIITM Gwalior
- •Fourth Position in National Level Hackathon at NIT Bhopal
- •Finalist In Hackathon At IIT BOMBAY
My Skills
Freelance Services
Professional, responsive websites tailored to your specific needs. From personal portfolios to e-commerce platforms, I deliver high-quality web solutions.
Native and cross-platform mobile applications with intuitive user interfaces and seamless functionality. I build apps that engage users and deliver results.
Creative and memorable logo designs that capture your brand's essence. I create visual identities that help businesses stand out in the market.
Personalized AI models tailored to your business needs. From predictive analytics to computer vision solutions, I develop AI that drives innovation and efficiency.
My Projects
Developed an AI-driven system to detect DeepFake videos, addressing the growing threat of misinformation and media manipulation. The system analyzes both facial and audio inconsistencies to accurately identify altered content.
Developed a Laboratory Management System to streamline patient registration, appointment scheduling, and report generation. The system enhances efficiency, reduces manual errors, and ensures secure data handling for seamless lab operations.
Developed a machine learning-based object detection and tracking model, capable of identifying and monitoring objects in real-time. Leveraged deep learning algorithms to accurately detect objects within a frame and implemented a tracking mechanism.
Work Experience
Developed websites, DICOM software, and mobile applications, enhancing functionality, user experience, and healthcare workflows.
Developed a website with dedicated sections for daily financial updates, enabling seamless tracking and management of daily transactions.