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Jaswant-2525/README.md

Hi, I'm Jaswant Raj GV! 👋

🚀 Aspiring AI & Data Analytics Engineer

B-Tech in Computer Science and Engineering | Specializing in AI & Data Analytics

I am a highly motivated engineering student with a robust theoretical and practical foundation in Machine Learning, Deep Learning, and Natural Language Processing (NLP). My passion lies in leveraging cutting-edge AI technologies—specifically Transformer-based models and OCR systems—to solve complex business problems and enable multilingual support.

👨‍💻 About Me

  • 🎓 Education: Currently pursuing B-Tech in CSE (Artificial Intelligence and Data Analytics) at Sri Ramachandra Faculty of Engineering and Technology, Chennai.
  • 📈 Academic Standing: Current CGPA of 9.65 (Expected Graduation: May 2027).
  • 🏆 Recognition: Recipient of the Chancellor's Cash Prize Award (2023) for achieving the highest marks in university examinations.
  • 💡 Interests: I am eager to apply analytical skills to building intelligent systems, ranging from scientific simulations to advanced recommendation engines.

🛠️ Technical Arsenal

Category Skills
Languages Python, Java, JavaScript, HTML, CSS, SQL (MySQL)
AI & ML Frameworks TensorFlow, PyTorch, Pandas, Gensim, Scikit-learn (implied by PCA/ML)
Web Development Node.js, Express.js, Flask, Tailwind CSS, React (implied context)
Tools & Platforms VS Code, GitHub, Google Colab, IntelliJ, Notion, Tableau, MS Excel
Core Concepts Deep Learning, NLP, Text Analytics, Data Mining, Unix Commands

🔬 Featured Projects

🧠 Automatic Information Retrieval from Research Papers

A sophisticated system for extracting and summarizing insights from unstructured academic documents.

  • Overview: Developed an end-to-end pipeline integrating Tesseract OCR for text extraction and Hugging Face Transformers (LLMs) for natural language understanding.
  • Key Features:
    • Named Entity Recognition (NER): Precise extraction of critical entities from text.
    • Keyword Ranking: Utilized TF-IDF to identify relevant keywords.
    • Automated Summarization: Generates key insights to reduce manual review time.
  • Tech Stack: Python, OCR, LLMs, NLP techniques.

📉 Enhancing Recommender System Performance with PCA

Research-driven project focused on optimizing Collaborative Filtering systems.

  • Overview: Conducted a comparative study to benchmark the impact of Principal Component Analysis (PCA) on recommendation accuracy and efficiency.
  • Impact: ADDRESSED challenges of data sparsity and scalability in E-commerce by applying dimensionality reduction to large-scale datasets.
  • Methodology: Designed experiments for explicit rating prediction and Top-N recommendation list generation using real-life customer purchase data.
  • Achievement: Won First Prize at Research Day 2025 for this work.

⚛️ Scientific Simulations: Newton's Cradle

An interactive educational tool bridging physics and web development.

  • Overview: A web-based simulation demonstrating complex physics concepts like conservation of momentum and energy.
  • Key Features:
    • Real-time user controls for adjusting pendulum count and impact speed.
    • Frame-by-frame CSS animations for realistic motion physics.
  • Tech Stack: HTML, CSS, JavaScript.

🏅 Honors & Achievements

  • 🥇 First Prize, Research Day 2025: Awarded for the paper "Enhancing Recommender System Performance with Principal Component Analysis," showcasing expertise in Dimensionality Reduction.
  • 🗣️ Special Mention, TechExpo 2025: Recognized in the Technical Debate competition for critical thinking and articulating complex technical arguments.
  • 🎓 Chancellor's Cash Prize (2023): Academic excellence award for topping university examinations.

📫 Let's Connect

I am open to collaborations on AI/ML projects and data analytics challenges.

Pinned Loading

  1. Information-Extraction-From-Research-Papers Information-Extraction-From-Research-Papers Public

    This project is about designing an Automatic System to Extract the Information from the Research Papers

    2

  2. Audio-Classification Audio-Classification Public

    This project is about designing a Classification model by using MFCC and CNN to classify the Audio Signals

    Python 1

  3. GCN-Research-Paper-Recommendation GCN-Research-Paper-Recommendation Public

    GCN-based Research Paper Recommendation using the Cora Citation Dataset with node embeddings, cosine similarity, Sentence-BERT semantic search, and graph visualizations.

    Jupyter Notebook 1

  4. PySpark-Large-Text-Classification PySpark-Large-Text-Classification Public

    Scalable large-scale text classification and sentiment analysis on 19M+ Amazon reviews using Apache Spark, Spark MLlib, Spark SQL, TF-IDF, Logistic Regression, and Hive.

    Jupyter Notebook 1

  5. Quantum-XAI-for-Brain-Tumor Quantum-XAI-for-Brain-Tumor Public

    Hybrid Quantum-Classical Brain Tumor Detection using ResNet50, VQC, Grad-CAM, and Integrated Gradients for Explainable AI in Medical Imaging.

    Jupyter Notebook 1

  6. Face-Attribute-Analysis Face-Attribute-Analysis Public

    This project is about designing a Clustering model to group similar faces by using various Facial Characteristics