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My Projects

Jan 2024 - Mar 2024

Implemented text classification using Bidirectional LSTM with pre-trained GloVe embeddings, achieving 91% accuracy on AG News dataset and 57% on the more complex 20 Newsgroups dataset with 20 categories.

Python
Deep Learning
NLP
+3 more
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Nov 2023 - Feb 2024

Developed an AI-powered ad generation platform that creates personalized video ads in real-time based on user preferences, integrating OpenAI for scripts, ElevenLabs for voiceovers, and D-ID for lip-synced videos.

Python
React
TypeScript
+4 more
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Oct 2023 - Dec 2023

Built Part-of-Speech tagging models using both traditional ML (Logistic Regression, SVM) and deep learning (BiLSTM) approaches. The BiLSTM model with GloVe embeddings achieved 94.78% accuracy, significantly outperforming traditional methods.

Python
NLP
BiLSTM
+4 more
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Oct 2023 - Oct 2023

Created a personalized academic planning platform that analyzes 10,000+ courses across 200+ majors to deliver tailored recommendations based on student preferences, improving course selection accuracy by 40%.

Next.js
TypeScript
Firebase
+4 more
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Aug 2023 - Dec 2023

Built a full-stack e-commerce app with secure authentication, cart management, and responsive design. Improved page load times by 20% through efficient content rendering using Thymeleaf templates.

Spring Boot
Java
Thymeleaf
+2 more
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Jun 2023 - Aug 2023

Analyzed cross-impact dynamics of Order Flow Imbalance (OFI) in equity markets, integrating multi-level OFI metrics and applying dimensionality reduction to evaluate their predictive power for price changes across various stocks.

Python
Data Analysis
Financial Markets
+3 more
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May 2023 - Jul 2023

Compared 3D CNNs, SVMs, and Random Forests for classifying MRI scans into PD, Control, SWEDD, and Prodromal groups. Random Forest achieved the highest accuracy (65.9%) for multiclass classification, while SVM performed best (76.4%) for binary classification.

Python
Machine Learning
Medical Imaging
+4 more
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May 2023 - Jul 2023

Developed an adaptive learning algorithm to adjust rates based on rejects, improving neural network reliability by 90% for safety-critical applications. Tested on breast cancer datasets, synthetic data, and MNIST, achieving a 10% accuracy improvement.

Python
Deep Learning
Neural Networks
+3 more
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2020 - 2021

Designed and developed a robotic system for inspecting pipelines, capable of navigating through various pipe diameters and detecting structural issues. Awarded Indian Design Patent: 360985-001.

Robotics
Computer Vision
Embedded Systems
+2 more
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2019 - 2020

Designed an electric bike specifically for senior citizens with enhanced safety features and ergonomic design. Awarded Indian Design Patent (Number: 344685-001).

Product Design
Electrical Engineering
Patent
+1 more
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2020 - 2021

Developed an automated system for public ration distribution to improve efficiency and reduce fraud. Received Indian Copyright Patent (Number: SW - 14713/2021).

Automation
IoT
Software Development
+1 more
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Oct 2020

Applied CNNs and deep learning models for accurate classification of Cats vs. Dogs, achieving 92% accuracy. Implemented using TensorFlow and Keras with data augmentation techniques.

Deep Learning
CNNs
TensorFlow
+1 more
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Apr 2021 - Jun 2021

Built a voice-activated Android application for display panel printing, integrating Bluetooth communication and Arduino-based hardware controls. Improved operational efficiency by automating manual processes and reducing errors.

Android
Kotlin
Bluetooth
+2 more
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Jun 2022 - Aug 2022

Developed an AI-powered image processing system using YOLOv5 to detect fire, smoke, and face masks in real-time. Integrated OpenCV for preprocessing and optimized the model for low-latency deployment in safety-critical applications.

Computer Vision
YOLOv5
OpenCV
+2 more
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