You will get a hand gesture Detection & Recognization solution.

Disha J.Status: Offline
Disha J. Disha J.
4.8
Top Rated

Let a pro handle the details

Buy Machine Learning services from Disha, priced and ready to go.
Disha J.Status: Offline
Disha J. Disha J.
4.8
Top Rated

Let a pro handle the details

Buy Machine Learning services from Disha, priced and ready to go.

Project details

We can provide you with a hand gesture detection & recognization solution to detect and predict the signs/gestures from the images, recorded videos/ live videos as per the requirements.

Hand gestures are extensively employed in human non-verbal communication. They allow to express orders (e.g. “stop”, “come”, “don’t do that”), mood state (e.g. “victory” gesture), or to transmit some basic cardinal information (e.g. “one”, “two”).
Some of the use cases are:-
• Understanding the language of Deaf & dumb people,
• Gesture-based signaling systems,
• Police traffic coordination in the absence of traffic lights.

Some languages & libraries we can take into consideration for the development are mentioned below:-
Language:-
• Python,
• C++/C#,
• Javascript

Libraries & frameworks:-
• OpenCV
• YOLOv3
• DarkNet-53
• Keras
• TensorFlow


Please feel free to contact me if you want to develop a similar application with your precise customization. We can discuss together about the work and then decide on the next required steps for the project.

What's included $7,500

These options are included with the project scope.

$7,500
  • Delivery Time 30 days
  • Number of Revisions 1
  • Number of Model Variations 1
  • Number of Scenarios 1
    • Model Validation/Testing
    • Model Documentation
    • Source Code
Optional add-ons You can add these on the next page.
Additional Revision
+$1,000
4.8
141 reviews
86% Complete
11% Complete
3% Complete
1% Complete
1% Complete
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Disha J.Status: Offline

About Disha

Disha J.Status: Offline
Computer Vision Engineer | AI/ML & Deep Learning Expert
100% Job Success
4.8  (141 reviews)
Ahmedabad, India - 9:48 am local time
With 7+ years of experience in AI/ML, I focus on building solutions that are not just technically sound but also practical and valuable in real-world scenarios. My work is driven by research, experimentation, and selecting the right technologies for each unique problem.

🔹 Where I Add Value
I have strong hands-on experience in Computer Vision / Machine Vision, working on problems such as:

* Object detection and recognition
* Multi-camera tracking and digital twin systems
* Face recognition and human pose estimation
* Edge AI and real-time inference
* Inspection systems and anomaly detection
* OCR and text extraction
* Data preparation including segmentation, augmentation, and synthesis

🔹 Machine Learning Expertise
Depending on the problem, I apply a wide range of ML techniques:

* Supervised Learning: Classification, Regression
* Unsupervised Learning: Clustering, Dimensionality Reduction
* Semi-supervised learning
* Reinforcement learning

🔹 NLP & AI Systems
Alongside vision, I’ve worked on intelligent systems involving:

* GPT-based models (GPT-3, GPT-4) and LangChain workflows
* Text summarization and content generation
* Recommendation systems (feature-based, user-based, hybrid)
* Sentence similarity and semantic analysis
* Conversational AI and dialog systems
* Speech processing (ASR, speech synthesis)
* Machine translation

🔹 Deep Learning Applications
I’ve applied deep learning across multiple real-world use cases:

* Multi-camera tracking systems
* Autonomous drones
* Chatbots and service bots
* Predictive analytics solutions

I’ve also worked closely with startups and businesses to build MVPs and POCs, helping them validate ideas and move faster toward production.

✔️ Open to signing NDAs for confidential projects
✔️ Additional demos and project details available on request

If you’re looking to build something in AI or want to explore a new idea, feel free to reach out happy to discuss and contribute.

Best regards
Disha

Steps for completing your project

After purchasing the project, send requirements so Disha can start the project.

Delivery time starts when Disha receives requirements from you.

Disha works on your project following the steps below.

Revisions may occur after the delivery date.

Step:- 1

Hear all the specific requirements from the client

Step:- 2

Discuss the approach and time frame as per their specific additional requirements

Review the work, release payment, and leave feedback to Disha.