Featured Projects

1. Natural Language Processing (NLP) for Social Media Mining

This project used a large-scale dataset of COVID-19-related tweets and applied Natural Language Processing (NLP) techniques to extract insights from unstructured text data, including sentiment, location mapping, and topic clustering.

Entertainment

Use Case: Audience Engagement Tracker
Description: Monitor social chatter and hashtags about releases or events to gauge audience reaction by region and mood.
Benefit: Helps tailor marketing content and identify ideal promotion windows.

2. Neural Network-Based Signal Filtering with Impairment Tolerance

Your project explores how neural networks can be used to perform filtering tasks in analog computation environments, even in the presence of impairments. This involves using backpropagation and adaptive learning methods to maintain performance despite noisy or imperfect data — a critical skill for real-world, unpredictable environments.

Ecommerce

Use Case: Product Search Optimization & Voice Shopping

SMBs can apply neural networks trained to handle noisy or imperfect input (e.g., typos or spoken queries) to deliver more accurate search results.

Benefit: Boosts conversions by improving user experience in product discovery.

3. Created AI Agent to automates the most time-consuming aspects of event managment — using natural language processing (NLP), workflow automation, and context-aware task generation to manage vendors, track budgets, and keep all moving pieces aligned.

Key features:

Monitor event attendee queries and follow up intelligently
Turns client conversations, emails, and meeting notes into structured timelines and task lists.
Auto-generates vendor checklists, reminders, and follow-ups based on deadlines and past event data

4. Semantic Segmentation using Full-Resolution Residual Networks (FRRNs)

This advanced computer vision method classifies every pixel in an image to identify and isolate objects (e.g., cars, people, roads) with high precision. The FRRN architecture combines full-resolution input processing with deep feature extraction via residual networks to enable detailed scene understanding — even in complex, real-world environments.

Event Planners

Use Case: Crowd Monitoring & Layout Optimization
Application: Use semantic segmentation on event footage to analyze crowd density, flow, and engagement at different event zones.
Benefit: Enhances safety, improves event layout planning, and strengthens sponsor ROI reporting.