Real Time Potato Disease detection using FBEWT and customized VGG
Published by
MAI Conf.
Summary
Published research detailing a novel FBEWT-VGG hybrid model for real-time potato disease detection, combining signal features with VGG embeddings.
About
Highly motivated B.Tech student specializing in Computer Science and Engineering, with a strong foundation in AI/ML and full-stack development. Proven ability to engineer real-time solutions, lead project teams, and deliver impactful results, evidenced by multiple hackathon wins and a design patent. Eager to leverage advanced technical skills and problem-solving capabilities in a challenging software engineering or machine learning role.
Work
National Informatics Centre (NIC)
|Software Development Intern
Lucknow, Uttar Pradesh, India
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Summary
Developed a UI/UX-friendly e-filing portal for courts, enhancing digital access and efficiency for advocates.
Highlights
Developed a UI/UX-friendly e-filing portal, enabling advocates to digitally file grievances and track real-time updates.
Streamlined judicial processes by creating an intuitive platform, enhancing user experience and access to legal services.
HCLTech
|Machine Learning Intern
Lucknow, Uttar Pradesh, India
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Summary
Designed and implemented a high-performance machine learning pipeline for stock price prediction.
Highlights
Designed and implemented a robust stock-price prediction pipeline utilizing Gradient Boosting Regressor (GBR), AdaBoost, and Random Forest algorithms.
Achieved a high R² score of 0.96 on unseen NSE data, demonstrating strong predictive accuracy and model performance.
Education
VIT Bhopal University
Bhopal, Madhya Pradesh, India
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B.Tech
Computer Science and Engineering
Grade: CGPA 8.82/10
Dabble College, Lucknow
Lucknow, Uttar Pradesh, India
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ISC Class XII
PCM
Grade: 95%
Lucknow Public Schools, Lucknow
Lucknow, Uttar Pradesh, India
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ICSE Class X
Grade: 93.8%
Awards
Top 8 HackerEarth ML Challenge 2024
Awarded By
HackerEarth
Ranked among the top 2% out of 3,000+ participants by developing MAE-reducing ensemble forecasts, showcasing advanced machine learning expertise.
Design Patent for Glaucoma Screening Device
Awarded By
India Patent Office
Co-inventor of a registered design for an innovative glaucoma screening device (Design No. 435863, India), demonstrating contribution to medical technology innovation.
Publications
Languages
English
Hindi
Certificates
IBM Certified Machine Learning Professional
Issued By
IBM
Skills
Programming Languages
Java, Python.
Machine Learning & AI
Time-Series Analysis, Computer Vision, Natural Language Processing (NLP), Transfer Learning, Gradient Boosting Regressor (GBR), AdaBoost, Random Forest, ARIMA, XGBoost, LightGBM, Ensemble Forecasting, Model Validation, AI/ML Model Deployment.
Frameworks & Libraries
PyTorch, TensorFlow, Flask, Streamlit, Pandas, NumPy.
Tools & Platforms
Git, Docker, Jupyter, OpenCV, Firebase, Firestore, Gemini API.
Software Development
UI/UX Design, Web Application Development, Database Management, API Integration, Real-time Systems, Data Analysis, Problem Solving, Project Management.
Projects
Real Time Potato Disease detection using FBEWT and customized VGG
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Summary
Researched and developed a real-time potato disease detection system, published at MAI Conf., leveraging advanced image processing and deep learning.