Jacob Chacko

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jacobhackov47@gmail.com | +91 8138090384


Projects

Automated NAS & Media Streaming Server

Tech Stack: Unraid, PC Hardware, Networking, SMB, Docker

Repurposed a legacy Intel Core i5-3470 system into a high-speed network-attached storage (NAS) server running Unraid 7.1.2, integrating a dedicated Gigabit Ethernet card to maximize network throughput. Architected a fault-tolerant storage array utilizing salvaged hardware, featuring a 1TB parity drive, two 500GB storage drives, and a 128GB SSD for high-speed caching. Established secure remote access via a Tailscale virtual private network and configured SMB shares, automating continuous household media backups using PhotoSync for over 200GB of active data. Deployed a Plex Media Server to stream hosted video content locally and remotely, establishing a scalable foundation for hosting future containerized applications.

Smart Wearable Sweat Patch for Physiological Trend Monitoring

Tech Stack: ESP32, C/C++, React Native, Firebase, DSP, Sensor Fusion

Engineered a self-powered, ESP32-based wearable patch integrating GSR, DS18B20, and DHT22 sensors to continuously track user hydration, thermal strain, stress, and fatigue. Developed a Context-Aware Neural Deconvolution Engine utilizing a Recursive Inverse Filter (RIF) to isolate true sympathetic neural drive from raw skin conductance by dynamically factoring in ambient Vapor Pressure Deficit (VPD). Programmed real-time C/C++ signal processing pipelines to calculate four physiological indices (HI, TSI, SRI, FI) anchored dynamically to a 120-second personalized resting baseline to eliminate false positives. Architected a low-latency IoT pipeline syncing telemetry to Firebase Firestore, visualized through a custom React Native (Expo Go) mobile dashboard featuring live index cards and automated alert thresholds.

RFID-Based Smart Attendance System

Tech Stack: C/C++, ESP32/Arduino, SPI/I2C Protocols, Bluetooth

Developed a contactless, real-time attendance tracking system utilizing a microcontroller paired with an MFRC522 RFID reader and an I2C LCD. The custom firmware operates over the SPI bus to authenticate, read, and parse 32-byte user name strings from MIFARE tags. Integrated the BluetoothSerial library to enable the secure, trigger-based wireless exportation of attendance logs directly to a mobile device.

Transit Location Vending Machine Controller

Tech Stack: Verilog HDL, Intel ModelSim, Digital Logic Design

Designed and simulated a multi-currency vending machine controller driven by a Mealy Finite State Machine (FSM). Modeled in Verilog HDL and validated using Intel ModelSim , the architecture processes real-time inputs for 11 snack options. It features a robust 4-state system (IDLE, ACCEPT, DISPENSE, RETURN) that seamlessly handles exact payments, refunds, and invalid currencies across five global denominations (Rupees, Euros, Dollars, Yen, and Pounds).

Analog Battery Level Indicator

Tech Stack: Analog Circuit Design, Multisim, PCB Prototyping

Designed and prototyped an energy-efficient analog circuit to accurately monitor a 12V battery’s state of charge, preventing over-discharge. Simulated in Multisim and constructed on a breadboard , the system leverages LM324 Operational Amplifiers acting as voltage comparators. It utilizes a resistor ladder and a 1N4733A Zener diode to establish a constant 5.1V reference voltage , successfully driving an array of LEDs to provide immediate visual feedback on charge thresholds up to 12V.