TECHNICAL PROJECT ARCHIVE

Data Analysis: AquaRisk-10: Regional Flood Vulnerability Index

Global Pulse: Real-Time Data Pipeline

Roboment R&D Lab

Automation & Control Systems

Automatic Tank Refiller

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Light Detecting Device

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Fire Alarm System

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Theft Detection Device

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Smart-Home Hub: Wi-Fi Appliance Control

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Physical OR Gate Implementation

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Physical AND Gate Implementation

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Shohoj Setting: A specialized mobile navigation aid engineered to simplify complex device settings and environmental interactions for non-technical users.

Sober Me — Recovery Support & Habit Tracking App A mobile application designed to support individuals working through recovery journeys — tracking milestones, sending encouragement, and surfacing harm-reduction resources. Built as a data-driven public health tool, focused on behavior tracking, milestone visualization, and accessible UX for a sensitive user base.

Linear Regression Visualizer (v1): A stable mathematical tool engineered to map coordinate distributions and calculate best-fit lines through real-time Python-driven data visualization.

Linear Regression Visualizer (v2): A coordinate-based mapping tool designed to visualize best-fit lines for data distribution, currently undergoing optimization to resolve a right-side interaction bug.

Knowledge AI: A personalized LLM assistant designed to process uploaded documents and provide contextual, real-time answers through a specialized knowledge base.

Regional Flood Vulnerability Index: A data-driven mapping tool that analyzes regional geography to identify and visualize high-risk flood zones for emergency planning.

Global Pulse: Real-Time Data Pipeline & Visualization Engine A Python-based tool built to practice real-time data ingestion and visualization — connecting to a live API, handling authentication, cleaning incoming data on the fly, and rendering it into live-updating charts. Focused entirely on the data engineering side: request handling, time-series processing, and dashboard rendering.Requires a Kaggle account to run.

Roboment R&D Lab (Automation & Control): A collection of sensor-driven hardware modules, including automated fluid management and security alert systems, developed for real-world environmental control

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