Pinned Repositories
AI-Assistant-for-MySQL-Database-using-Google-PaLM
Semester 7 Project. Proposing an advanced AI assistant, seamlessly integrating MySQL and Google PaLM, to elevate efficiency in database management. Harnessing the power of Large Language Models (LLM), our innovative SQL assistant simplifies complex queries, overcoming barriers for non-technical users. Revolutionize the database querying experience.
Bajaj-AI-Assistant-Unmasking-Deceptive-Designs
Developed a AI Assistant for medical document analysis, summarization, template generation, and fraud detection system.
Bengali-Handwritten-Character-Classification
Semester 4 Project. Tried to Implement a Classification Model on 'BanglaLekha-Isolated' Dataset to classify 84 classes of Bengali Handwritten-Characters
bhamsu
Config files for my GitHub profile.
CBTCIP
CIipherByte Technologies Data Science Internship Project
Classification-of-Masked-Face-Using-Alexnet-Cnn-SVM
Semester 3 Project. Deep Convolution Neural Network For Binary Classification Of Masked Face Image Using SVM and Transfer Learning
Content-Based-Image-Retrival-using-VGG16
Semester 5 Project. Image based Search Engine which extract features using pre-trained VGG16 and the compare them.
CUSTOMER-BILLING-SYSTEM
Semester 6 Project. Customer Billing System is an open-source GUI project with the architecture for any backend billing software. It is integrated with both Local database(MySQL) and Cloud database(Google CloudSQL). Further, this project can be modified according to any Client's requirement.
Electronic-Voting-Machine
Class 11 Project. Basic GUI App that works as an EVM
Spam-Mail-Detection-Using-SVM
A Spam Email Detection system using Support Vector Machines (SVM) in Python, employing Text Vectorization (TF-IDF) for feature extraction, and achieving accurate classification by learning from labeled email data.
bhamsu's Repositories
bhamsu/AI-Assistant-for-MySQL-Database-using-Google-PaLM
Semester 7 Project. Proposing an advanced AI assistant, seamlessly integrating MySQL and Google PaLM, to elevate efficiency in database management. Harnessing the power of Large Language Models (LLM), our innovative SQL assistant simplifies complex queries, overcoming barriers for non-technical users. Revolutionize the database querying experience.
bhamsu/Classification-of-Masked-Face-Using-Alexnet-Cnn-SVM
Semester 3 Project. Deep Convolution Neural Network For Binary Classification Of Masked Face Image Using SVM and Transfer Learning
bhamsu/Bajaj-AI-Assistant-Unmasking-Deceptive-Designs
Developed a AI Assistant for medical document analysis, summarization, template generation, and fraud detection system.
bhamsu/Bengali-Handwritten-Character-Classification
Semester 4 Project. Tried to Implement a Classification Model on 'BanglaLekha-Isolated' Dataset to classify 84 classes of Bengali Handwritten-Characters
bhamsu/bhamsu
Config files for my GitHub profile.
bhamsu/CBTCIP
CIipherByte Technologies Data Science Internship Project
bhamsu/Content-Based-Image-Retrival-using-VGG16
Semester 5 Project. Image based Search Engine which extract features using pre-trained VGG16 and the compare them.
bhamsu/CUSTOMER-BILLING-SYSTEM
Semester 6 Project. Customer Billing System is an open-source GUI project with the architecture for any backend billing software. It is integrated with both Local database(MySQL) and Cloud database(Google CloudSQL). Further, this project can be modified according to any Client's requirement.
bhamsu/Electronic-Voting-Machine
Class 11 Project. Basic GUI App that works as an EVM
bhamsu/Spam-Mail-Detection-Using-SVM
A Spam Email Detection system using Support Vector Machines (SVM) in Python, employing Text Vectorization (TF-IDF) for feature extraction, and achieving accurate classification by learning from labeled email data.
bhamsu/Routine-App
Routine Management App
bhamsu/Salary-Management-Application
Class 12 Project. Basic GUI App based on our daily Money/Salary Management build on Python.
bhamsu/Sentiment-Analysis
Final Year Project (Semester 8). Trying different Machine Learning algorithms & Deep Learning models to achieve a better result for Sentiment Analysis on text and audio data.