Bhavya Jain

Detail-oriented and analytical Data Science enthusiast with a solid foundation in Python and Java programming. Specializes in machine learning, natural language processing, and data visualization. Experienced in developing models using supervised and unsupervised learning techniques, as well as building and fine-tuning neural networks for real-world applications. Adept at transforming raw data into actionable insights using advanced algorithms and visual storytelling. Committed to continuous learning and delivering data-driven solutions that enhance business outcomes.

• Applied Machine Learning in Python(Coursera)
• MongoDB Associate Database Administrator (MongoDB)
• Machine Learning using Python (simplelearn)

Applied Machine Learning in Python(Coursera)

MongoDB Associate Database Administrator (MongoDB)

Machine Learning using Python (simplelearn)

Sound Recognition (using NLP)

• Built a model to recognize and classify spoken words using sound and voice input.
• Used audio feature extraction (like MFCC) and trained models for accurate sound detection.
• Combined sound recognition with NLP to understand and process voice commands effectively.

Voice Narration for Blind Individuals" using LLaMA, LLM, OpenCV, and voice integration

• Purpose: Designed an assistive system to help visually impaired individuals by narrating their surroundings using AI-powered voice output.
• Implementation: Used OpenCV for real-time object detection, integrated with LLaMA/LLM models to generate meaningful descriptions, and converted text to speech using voice synthesis.
• Outcome: Enabled real-time scene understanding and audio narration, improving accessibility and independence for blind users.