- 🎓Final Year BTech CSE Student at Saintgits College of Engineering
- Certified for The Complete 2024 Web development Bootcamp on Udemy.
- I'm a night owl, always driven and constantly learning in the tech world.
- Creating AI/ML Projects
- Learning new programming languages.
- Like to gain real-time experience by attending Workshops, Hackathons and other Technical events.
- 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.
Here's what I'm currently focused on:
ClauseX is an advanced contract analysis tool designed to parse, classify, and validate business contracts. Leveraging machine learning techniques, ClauseX identifies and highlights deviations from predefined templates, ensuring compliance and consistency across various types of contracts. The tool supports various contract types, including employment, joint, partnership, purchase, and sales agreements, making it an essential asset for legal and business professionals.
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.
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.
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For a quick response, DM me on Instagram or LinkedIn.
For professional inquiries, reach out via email at megha.csb2125@saintgits.org.