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meghaarajeev/README.md

    About me✌🏻

  • 🎓I am a 3rd year CSE Student at Saintgits College of Engineering
  • Current Endevours🔭

    Here's what I'm currently focused on:

  • I'm learning HTML,CSS and Javascript from a Web development Bootcamp on Udemy.
  • I'm exploring Blockchain Technology to enhance my skill set.
  • I'm a night owl, always driven and constantly learning in the tech world.
  • My Interests✨

  • Full Stack Web Development
  • Learning new programming languages.
  • Like to gain real-time experience by attending Workshops, Hackathons and other Technical events.
  • Creation👩🏿‍💻

    A compilation of my personal learnings📖:

  • Python Learning Repository🔵🟡

  • Projects👷🏼‍♀️

  • MetaMart is a virtual marketplace within the metaverse tailored to Instagram and Facebook small business owners. It offers a platform for these creators to showcase and sell their products in immersive virtual environments. With customizable interfaces, users can personalize their virtual storefronts according to their branding preferences. Accessible via desktop or mobile devices, MetaMart aims to bridge traditional e-commerce with the immersive world of the metaverse, empowering businesses to thrive in virtual space.

  • As a part of IIIT Hyderabad Reasearch Teaser Programme me and my team developed a robust emotion recognition system utilizing machine learning techniques on the CREMA-D dataset to classify various emotions expressed in audio recordings accurately. This involves analyzing different acoustic features of the speech signal, such as pitch, intensity, and duration, as well as linguistic features and contextual information, to infer the underlying emotional state.By analyzing these features, we can better understand how emotions are conveyed through speech and use this information to improve communication and interaction between humans and machines.
  • A reliable technological solution for accurately identifying and classifying the emotional states expressed in baby cries is urgently needed to support optimal emotional development in early infancy and enable responsive parenting. Caregivers gain real-time insights into their baby's emotional state, facilitating timely and appropriate responses. This software empowers parents by providing a deeper understanding of their baby's needs and emotions, fostering a stronger parent-child bond and promoting healthier emotional development in the infant.
  • Simplifies packing: snap photos of items, and its Segment Anything AI instantly identifies them. The app employs Google Material Design to neatly list recognized objects. Plus, integrated Google Assistant confirms contents without opening the app, streamlining the packing process effortlessly.

    Connect with me💬

    Languages and Tools📝

    Category Skill
    Framework My Skills
    Languages My Skills
    Styling and Framework My Skills
    Database My Skills
    Services & Tools My Skills
    IDE & Environment My Skills
    Hosting My Skills
    Design Tools My Skills

    📫 Contact

    For a quick response, DM me on Instagram or LinkedIn.

    For professional inquiries, reach out via email at [email protected].

    meghaarajeev's Top Languages

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  1. EmoSense-EmotionAnalysis-Machine-Learning EmoSense-EmotionAnalysis-Machine-Learning Public

    👩🏿‍💻IIIT Hyderabad Reasearch Teaser Programme : We developed a robust emotion😃 recognition system utilizing machine learning techniques on the 🗣️CREMA-D dataset to classify various emotions express…

    Jupyter Notebook

  2. CryBell-Enhancing-infant-bonding-and-care-through-emotion-awareness CryBell-Enhancing-infant-bonding-and-care-through-emotion-awareness Public

    👶🏿A reliable technological solution for accurately identifying and classifying the emotional states expressed in baby cries is urgently needed to support optimal emotional development in early infa…

    Jupyter Notebook

  3. MetaMart-hackfest-dev-HF24-Vortex MetaMart-hackfest-dev-HF24-Vortex Public

    MetaMart 🛍️ offers a virtual marketplace within the metaverse🤖. It is designed to provide a seamless and immersive shopping experience within the metaverse, allowing businesses🛒 to showcase and sel…

    TypeScript