diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000..0fadd17 Binary files /dev/null and b/.DS_Store differ diff --git a/projects/.DS_Store b/projects/.DS_Store new file mode 100644 index 0000000..a0b8731 Binary files /dev/null and b/projects/.DS_Store differ diff --git a/projects/bluetooth/.DS_Store b/projects/bluetooth/.DS_Store new file mode 100644 index 0000000..969e164 Binary files /dev/null and b/projects/bluetooth/.DS_Store differ diff --git a/projects/bluetooth/bluetooth_applications/.DS_Store b/projects/bluetooth/bluetooth_applications/.DS_Store new file mode 100644 index 0000000..75b59d2 Binary files /dev/null and b/projects/bluetooth/bluetooth_applications/.DS_Store differ diff --git a/projects/bluetooth/bluetooth_applications/AegiesRover_SNU_Delhi_NCR/README.md b/projects/bluetooth/bluetooth_applications/AegiesRover_SNU_Delhi_NCR/README.md new file mode 100644 index 0000000..815a03f --- /dev/null +++ b/projects/bluetooth/bluetooth_applications/AegiesRover_SNU_Delhi_NCR/README.md @@ -0,0 +1,48 @@ +# AegisRover +> Bluetooth-controlled microcontroller car + mobile controller app + +[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)]() +[![Issues](https://img.shields.io/github/issues/USERNAME/REPO_NAME)]() +[![Last Commit](https://img.shields.io/github/last-commit/USERNAME/REPO_NAME)]() + +## Project summary +AegisRover is a Bluetooth-controlled car built with Silicon Labs microcontroller boards and a mobile app to control speed, direction and some extra features (lights/horn/auto-mode). This repo contains firmware, mobile app source, wiring diagrams, docs and a demo video. + +## Features +- Drive control: forward, backward, left, right, stop +- Speed control (PWM) +- Mobile app UI with joystick + buttons + +## Hardware +- Silicon Labs board +- Motor driver +- DC motors ×4 +- Battery pack +- Chassis + wheels +- Blutooth + +## Software stack +- Firmware: Silicon Labs Simplicity Studio SDK +- Language: C (firmware) +- Mobile App: Android (Kotlin) +- Build tools: Android Studio + +## Repository structure +``` +. +├── firmware/ # MCU firmware source (C) +│ ├── README.md +│ ├── board/ +│ └── src/ +├── mobile-app/ +│ └── README.md +├── docs/ +│ ├── wiring.md +│ ├── demo_video_link.md +│ └── report.pdf +├── hardware/ +│ └── PCB_schematics_or_photos/ +├── .gitignore +├── LICENSE +└── README.md +``` diff --git a/projects/iot_utilities/AgroLink-IoT_SNU_Delhi_NCR/README.md b/projects/iot_utilities/AgroLink-IoT_SNU_Delhi_NCR/README.md new file mode 100644 index 0000000..0952ec5 --- /dev/null +++ b/projects/iot_utilities/AgroLink-IoT_SNU_Delhi_NCR/README.md @@ -0,0 +1,42 @@ +# 🌾 AgroLink-IoT: Smart Farming Assistant + +### 🚀 Project Overview +AgroLink-IoT is a smart agricultural assistant system designed to help farmers make **data-driven decisions**. +The system integrates a **Silicon Labs microcontroller**, **soil moisture sensors**, and a **mobile application** to monitor real-time soil health and forecast upcoming weather conditions. + +By combining **IoT sensing** and **cloud-based analytics**, AgroLink-IoT empowers farmers to improve **crop yield**, **water efficiency**, and **resource management**. + +--- + +### 🧩 Key Features +- 🌱 **Soil Moisture Monitoring** — Real-time data collection using IoT sensors. +- ☁️ **Weather Forecast Integration** — Displays future weather predictions via the mobile app. +- 📱 **Mobile Dashboard** — Simple interface to visualize farm conditions. +- ⚙️ **Silicon Labs Hardware Support** — Built using the EFR32/EFM32 MCU series and Simplicity Studio. +- 🔒 **Low Power Operation** — Optimized for energy-efficient field deployment. + +--- + +### 🛠️ Hardware Components +- Soil Moisture Sensor (Capacitive Type) +- Wi-Fi/Bluetooth Module +- Power Supply +--- + +### 🧑‍💻 Software Tools +- **Simplicity Studio** (for Silicon Labs MCU) +- **Embedded C / C++** +- **Mobile App (Kotlin)** +- **Weather API** + +--- + +### 📊 System Architecture +[Soil Moisture Sensor] --> [Silicon Labs MCU] --> [Cloud / API] --> [Mobile App] + +--- + +### 📈 Expected Outcomes +- Better water management through automated soil analysis. +- Accurate weather-based irrigation planning. +- Data visualization for informed crop decisions. \ No newline at end of file