Projects

Things I’ve built

A collection of side projects, experiments, and shipped products across AI/ML, web, and mobile.

All Web Natural Language Processing Artificial Intelligence Deep Learning Mobile Cybersecurity IoT Computer Vision Backend Games Research Quantum Data DevOps Robotics

Mar 2025

Gen AI-Orchestrator for Email and Document Triage/Routing

This project automates the classification and processing of high-volume email requests, especially in domains like commercial banking where customer servicing teams manually read, sort, and respond to hundreds of emails each day. These emails often include attachments, unstructured text, and complex request types that make manual triage slow and error-prone. Our solution uses AI to classify request types, extract sub-requests, process attachments, and detect duplicate emails at scale, reducing operational overhead and improving response efficiency.

AgentLLMRAGGPT-4

Jun 2024

Resume Match

Resume Match is an AI-powered tool that streamlines the process of matching resumes to job descriptions, solving inefficiencies in traditional recruiting platforms. By leveraging GPT-3.5 and vector search, it provides recruiters and candidates with smart, scalable job-resume pairing and visual insights.

Azure OpenAIGPT-3.5Vector SearchUMAP

Sep 2023

Gandalf: Harnessing DistilBERT Transformer and BiLSTM for Precise Website Content Classification and Blocking

The Internet has become an essential part of one’s daily life, offering vast amounts of information at one’s fingertips. However, it also presents a significant threat to young web users who may encounter inappropriate or harmful content. To address this issue, a deep learning model, named the “Gandalf Model”, is proposed for accurately identifying the type of content on a website. The Gandalf Model uses a DistilBERT Transformer and BiLSTM to classify websites into ten categories, including NSFW. The model has been trained on a large dataset of over 400,000 data entries, which has been curated and labeled for this purpose. The experimental results demonstrate that the model achieves an accuracy of 80.1%, which is better than many traditional models used in this field. The model protects young web users from inappropriate or harmful content on the Internet thus contributing to the development of effective content filtering and blocking systems. By coupling this model with a proxy server, access to websites belonging to categories as desired by the system administrators is also successfully blocked.

CybersecurityContent BlockerTransformerTensorflow

Dec 2022

OurChatStory.co - #WhatsAppWrapped

OurChatStory.co is a captivating web application designed to provide you with intriguing insights into your WhatsApp chats that you can share with friends and peers. Discover fun facts about your conversations, such as who chats the most, who initiates conversations, when you are most active, and even visualize your chat history with a unique word cloud. Share your "wraps" with friends and explore the fascinating dynamics of your messaging history.

NLTKFastAPINextJSDigitalOcean

Aug 2022

MOM Bot

MOM Bot is a Discord bot that utilizes the T5 Transformer to simplify the process of creating Meeting Minutes (MOM) from the transcript of a meeting. Meeting minutes are essential for documenting discussions, decisions, and action items, but creating them manually can be time-consuming and tedious. This innovative bot automates the generation of MOM by extracting key insights and content from the meeting transcript. By employing state-of-the-art Natural Language Processing (NLP) technologies, it ensures that valuable information is captured accurately and efficiently.

PyTorchTransformersNLPFastAPI

Oct 2021

Auto Grader

Auto Grader is a cutting-edge solution that streamlines the grading process by leveraging a deep learning pipeline. This innovative project automates the evaluation of answer sheets, making use of Computer Vision (CV) and Optical Character Recognition (OCR) to read and extract answers. It then employs BERT embeddings for similarity analysis, allowing for efficient and objective grading. It significantly reduces the time and effort required for manual grading while ensuring accuracy and consistency in the evaluation process. By combining CV, NLP, Tensorflow, FastAPI, and Docker, this project offers a versatile and robust solution for educators and institutions.

CVNLPTensorflowFastAPI

Apr 2021

HypeLinks API

An API which can classify website URLs into 10 different categories. The API was made using FastAPI (deployed on Azure) and the model was made in Tensorflow using DistilBert Transformer from Hugging Face.

TensorflowTransformersNLPFastAPI

Dec 2020

Sentival

A chrome extension that helps the readers to understand the underlined subconscious biases given by the author in the article and gives an unbiased analysis.

ExtensionNLPNode.js

Oct 2020

Voice Enabled Robotic Navigation System

Using ROS, turtlebot simulation, voice recognition and NLP capabilities, the bot can take speech commands and naviagate itself around the house.

RoboticsAutomationNLPROS