International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
Semantic Analyzer for Sanskrit Scripts Prof.Bharath Bharadwaj B S1, Sadaf Sultana2, Melvin Dsouza3, Yashaswini S4, Darshan Gowda N5 1Assistant Professor, Dept. of Computer Science and Engineering, Maharaja Institute of Technology,
Thandavapura.
2345Students, Dept. of Computer Science and Engineering, Maharaja Institute of Technology, Thandavapura.
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Abstract - The “Semantic Analyzer for Sanskrit Scripts” is a
maintain both precision and maintain proper context within the output.
revolutionary system using advanced deep learning technologies to allow modern audiences access to ancient Sanskrit texts. Sanskrit offers philosophical and scientific as well as literary knowledge. However, because it is complex so few experts remain, people battle for understanding it. CNNs are being used in this project in order to achieve accurate recognition. Sanskrit characters are translated into more accessible languages such as Kannada or English. A userfriendly interface lets users easily upload images or text files and the system preprocesses the input for the model's use. Here we have build a model that identifies and translates the characters and gives literal translations with semantic analyses that supply contextual meanings with interpretations. Researchers, students, and enthusiasts worldwide can use this tool for valuable Sanskrit knowledge since it bridges ancient wisdom with contemporary understanding via democratized access.
The interface of the system provides an accessible platform through which all users can submit images and text files without any prior Sanskrit knowledge. The system begins by pre analyzing the uploaded data to make it suitable for deep learning model evaluation. The model performs character recognition on the input data before generating translations. The system includes semantic analysis functions which deliver contextual meanings to users thus assisting them in understanding texts better. The Semantic Analyzer for Sanskrit Scripts combines advanced technology with userfriendly functions to support researchers and students and language enthusiasts who want to explore the ancient and profound language.
2. PROBLEM STATEMENT AND OBJECTIVE 2.1 Problem Statement
Key Words: Semantic Analyzer for Sanskrit Scripts, Deep learning, CNN, Upload Image, Preprocess, Literal Translations, Contextual Meanings.
The challenge of accessing ancient Sanskrit texts stems from their linguistic complexity combined with insufficient expert availability. Sanskrit contains an extensive library of philosophical and scientific and literary knowledge yet its complex grammar and script make it difficult to understand. Researchers as well as students and enthusiasts face significant obstacles in their exploration of valuable texts due to both their complexity and the limited number of experts. The traditional translation and analysis methods require expert knowledge and extensive time which leads to the exclusion of the general public from accessing the extensive Sanskrit literature. The limited accessibility to the extensive ancient wisdom means most people cannot explore this valuable knowledge.
1.INTRODUCTION This project designed the huge knowledge in ancient Sanskrit texts to unlock. Sanskrit stands as one of the oldest languages in the world, thus it has been a vessel for deep wisdom within various domains, to include philosophy, science, plus literature. The complexity that is in the language has made the comprehension of these texts a challenging endeavor for everyone. Also, a decline in skilled experts has created access problems. For making this rich heritage more accessible to a broader audience, this project seeks to address this issue by employing cutting-edge technology to simplify Sanskrit scripts analysis and interpretation.
The current tools and resources available for Sanskrit translation and analysis fail to meet the necessary standards for proper understanding outdated. Modern translation systems do not possess the needed complexity to decipher the precise meanings of Sanskrit texts. The failure to interpret meaningful nuances in Sanskrit leads to incorrect translations which in turn obstruct text comprehension. The inadequate capabilities of existing systems create an urgent demand for an advanced and intuitive platform that delivers precise Sanskrit translations along with meaningful script interpretations. A modern solution would create wider access
A sophisticated deep learning model forms the central component of this system which learns to detect and convert Sanskrit characters into Kannada or English languages. The model employs advanced architectures including Convolutional Neural Networks (CNNs) and Transformers for processing the complex structures present in Sanskrit scripts. The model learns through the training process which requires providing extensive datasets containing labeled Sanskrit characters and their translations to achieve high predictive accuracy. The system produces translations that
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