Real-time microphone volume control using hand gestures via webcam.
Project by Infosys springboard Internship 6.0 Batch 4-5 — Snehil Ghosh · Gautam N Chipkar · Amrutha Varshani · Ayush Gorge

GestureVolume uses your webcam and MediaPipe hand tracking to control your system microphone volume in real time — no buttons, no sliders. Just your hand.

Two control modes are available:

Here you can see the application actively controlling the Windows Sound Settings Microphone input volume.

1. Control Hub (main.py)

2. Pinch Gesture Mode (Actively Controlling Mic)

3. Finger Counting Mode (Actively Controlling Mic)

• OS: Windows only (uses pycaw + comtypes for mic control)
• Python: 3.8 or higher
• Webcam: Any standard USB or built-in webcam

Install everything with one command:

pip install -r requirements.txt

Download the hand landmark model and place it in the project root:

curl -o hand_landmarker.task "https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task"

Or download manually from:
https://ai.google.dev/edge/mediapipe/solutions/vision/hand_landmarker

# 1. Clone the repo
git clone https://github.com/Light-seekr/ISB_Batch-A_Project.git
cd ISB_Batch-A_Project

# 2. Install dependencies
pip install -r requirements.txt

# 3. Download the model file (if not already present)
curl -o hand_landmarker.task "https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/1/hand_landmarker.task"

# 4. Launch the app
python main.py

ISB_Batch-A_Project/
├── main.py                  # Launcher — Control Hub (start here)
├── Finger_controll.py       # Mode 1: Finger Counting
├── Gesture_Controll.py      # Mode 2: Pinch Gesture
├── hand_landmarker.task     # MediaPipe model file (download separately)
├── requirements.txt         # Python dependencies
├── Finger_controll.ipynb    # Jupyter notebook (reference)
└── Gesture_Controll.ipynb   # Jupyter notebook (reference)

• Windows only — mic control relies on Windows Audio APIs (pycaw/comtypes)
• Run from terminal (python main.py) — Tkinter GUIs do not work reliably inside Jupyter Lab or VS Code's interactive window
• The hand_landmarker.task model file is not included in the repo (too large); download it separately using the instructions above
• Make sure your webcam is accessible and not in use by another application

Every day, students and professionals juggle between meetings, recordings, and calls — constantly reaching for their keyboard to adjust the mic volume at the worst moments. This friction breaks focus and disrupts workflow.

GestureVolume was built to eliminate that friction entirely.

In an era where AI and computer vision are reshaping human-computer interaction, we shouldn't need to touch a device to control it. This project demonstrates that a consumer webcam and a few hundred lines of Python are enough to build a fully functional, touch-free interface — no special hardware, no proprietary sensors, no dependencies on cloud APIs.

Beyond convenience, this has real-world impact for:

• 🧑‍🦽 Accessibility — giving hands-free control to users with motor impairments
• 🎙️ Streamers & podcasters — quick mic management without breaking recording flow
• 🏥 Sterile environments — touchless device control in medical or lab settings
• 🤖 HCI research — a baseline for gesture-driven interface experiments

This project proves that gesture-based interfaces are not the future — they are already here, built with open-source tools available to anyone.

Gautam N Chipkar
B.E – Artificial Intelligence & Data Science

If you find this project valuable, consider giving it a star ⭐ — it helps others discover it and motivates continued development.

This project was developed as part of the Infosys springboard Internship 6.0 program .