README.md

Sign Laanguage Detection

"Sign Language Detection Application. Transforming communication through AI innovation, our project aims to bridge the gap between sign language users and the wider community. We strive to enhance gesture recognition accuracy, provide real-time translation, and foster inclusivity. Overcoming communication barriers, we drive user-centric innovation through robust machine learning models, scalable design, and iterative development."

Problem Statement:

"Our project addresses the communication challenges faced by the deaf and hard-of-hearing community by leveraging advanced machine learning technology. We aim to enhance inclusivity by providing real-time translation of sign language gestures, overcoming communication barriers, and driving user-centric innovation through robust, scalable, and accessible solutions."

Proposed Solution:

"The proposed solution involves implementing advanced machine learning models to accurately detect and translate sign language gestures in real-time. By leveraging deep learning techniques, we aim to provide precise and reliable sign language recognition. This will enable seamless communication between sign language users and non-sign language users. Additionally, we plan to enhance accessibility and inclusivity by integrating this technology into various communication platforms, driving user empowerment through innovative and scalable AI solutions."

1. You can view the PPT,

2. You can view Demo video

Screenshots of the application :

How does it work?

1. Data Collection: Gather video data of sign language gestures from various sources.
2. Data Preprocessing: Extract relevant frames from videos, Perform resizing, normalization, and augmentation.
3. Model Training: Use deep learning models (CNNs and RNNs) to train on the preprocessed data, Fine-tune the model for accurate gesture classification.
4. Real-Time Inference: Capture real-time video input using a camera, Process each frame with the trained model to detect and classify gestures,Translate detected gestures into text or speech output.
5. Integration:Embed the system into communication platforms like mobile and web applications, Ensure seamless operation for end-users, enhancing accessibility and inclusivity.
6. Continuous Improvement:Collect user feedback and additional data, Refine and retrain models to improve accuracy and performance.

How quick can this technology be implemented ?

Our solution can be instantly be brought to production with the existing shopping applications for different products.

What is the impact of this solution ?

The impact of adding this feature will be huge, as we’ve now reduced the gap between our customers and the actual product. More and more people would be eager to try the product and ultimately increase the sales by a very large factor. The impact of this solution is significant, as it addresses key challenges in the retail industry and offers several benefits:

1. Inclusivity: By providing personalized experiences for customers of all body types, the solution fosters inclusivity in online shopping, ensuring that everyone feels represented and valued.
2. Precision in Size Selection: The AR technology helps overcome size variance issues, reducing the likelihood of returns and improving customer satisfaction.
3. Accessibility: Implementing AR features for persons with disabilities enhances accessibility, making it easier for everyone to engage in virtual try-ons and shop online.
4. Customer-Centric Innovation: By driving customer empowerment through innovative AR features, the solution creates a more engaging and personalized shopping experience, strengthening the brand-consumer relationship.

Is the solution scalable ?

The solution is designed to be scalable. By leveraging AR technology, which is inherently digital and flexible, the solution can easily adapt to changing customer preferences and technological advancements. The design considerations for scalability, such as cost-efficient AR solutions and iterative development, ensure that the solution can grow and evolve over time. This scalability allows for the implementation of new features and the expansion into new markets, making it a sustainable and future-proof solution for the retail industry.

Business Relevance :

After bringing the idea to production, more and more users will be tempted to check out the products and the transition barrier from traditional offline buying to online would be reduced, thus increasing the sales.

1. Competitive Advantage: Implementing AR technology can differentiate a retail business from its competitors, attracting customers who value innovative and immersive shopping experiences.
2. Increased Sales: By providing more accurate size selection and virtual try-ons, the solution can reduce returns and increase customer confidence in making purchases online, ultimately leading to higher sales.
3. Cost Efficiency: Compared to physical stores, AR-based virtual stores offer a more cost-effective way to reach customers in different geographical locations, potentially reducing overhead costs.
4. Customer Engagement: The interactive and personalized nature of AR experiences can significantly enhance customer engagement, leading to stronger brand loyalty and repeat business.

Use this application :

NOTE: You need to download google AR Core Service for running our apllication successfully Link,

1. You can download the APK, and then install it (you might have to enable installation from unknown sources).

2. Or you can clone the repository and import in Android Studio to see the code + build the APK.

Future Scope:

The option for virtual try on/ see in your room can be made available for more and more products by making a separate application for making 3D models by just scanning the object by mobile phone’s camera, which currently requires a professional to make 3D models using heavy graphical softwares. Continuous improvement can be made to the AR technology, making the items even more realistic and improving the overall experience.

1. Advanced AR Features: As AR technology continues to evolve, there is potential to incorporate more advanced features such as augmented reality games, social shopping experiences, and virtual showrooms, further enhancing the customer experience.
2. Integration with AI: Integrating AI-powered algorithms can personalize recommendations based on customer preferences and past interactions, creating a more personalized and relevant shopping experience.
3. Cross-Platform Compatibility: Ensuring compatibility with a wide range of devices and platforms, including smartphones, tablets, and wearable devices, can expand the reach of the solution and cater to a broader audience.
4. Enhanced Analytics: Improving analytics capabilities can provide businesses with deeper insights into customer behavior, allowing them to optimize their marketing strategies and product offerings.
5. Sustainability Initiatives: Incorporating sustainability practices, such as virtual product try-ons to reduce waste from returns, can align with the growing consumer demand for eco-friendly shopping options.