Verbal Linguists
Speech to text transcription for Indian languages
Speech to text transcription for Indian languages
Classify images to identify specific types of skin or lung cancer and predict outcomes based on these categories.
This project aims to build an advanced video anomaly detection system using OpenCV, TensorFlow with YOLO, ResNet50, speed estimation, and advanced analysis techniques to improve surveillance effectiveness.
Published in International Conference on Advances in Sustainable Development, Innovation and Green Technology, hosted by Assam Downtown University in Guwahati, Assam, 2024
Published:
Duration: March 2024 - May 2024
Description: During my internship at Null Class Pvt Ltd, I specialized in advancing emotion detection algorithms through a series of focused tasks. I compared time-series models with static image-based approaches, developed dynamic model adaptation for personalized predictions, and integrated cultural context to enhance cross-cultural recognition accuracy. Additionally, I created real-time emotion detection systems for streaming video data and trained multi-context models.
Published:
Duration: May 2024 - July 2024
Description: Developed OCR technology for automatic extraction of container and truck number plates, seamlessly integrated with IoT sensors for precise time logging and performance analysis, thereby enhancing supply chain visibility and sustainability. Led initiatives in pioneering the integration of cutting-edge Generative AI and Large Language Models (LLMs) to advance natural language processing, leveraging these technologies to drive groundbreaking AI applications.
Published:
Duration: May 2024 - June 2024
Description: Developed an interactive chatbot in Python using tkinter, integrating API calls for weather updates, news retrieval, and language translation. Additional features include joke generation, date retrieval, and mathematical operations. In parallel, implemented a context-aware Q&A admission chatbot using Flask, incorporating memory management for personalized responses based on user interactions, thereby enhancing user engagement. Lastly, the “Disease Prediction System using Machine Learning” project focuses on developing an intelligent system that predicts disease likelihood from health data using machine learning, aiming for early detection and proactive healthcare management.
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.