Aspiring Professional | NLP | Generative AI | Data Science | Machine Learning & Deep Learning
An aspiring professional with expertise in NLP, Generative AI, Data Analytics, Deep Learning, MEAN stack development, cloud technologies, and Object-Oriented Programming (OOP). Keen to tackle complex coding challenges and develop efficient, reliable solutions, I thrive in fast-paced, diverse environments and consistently strive to deliver high-quality work.
An award-winning application aimed at automating thread counting for quality assurance in the handloom industry. Leveraging image detection techniques, the project enhances production efficiency and reduces manual effort.
Implemented an NLP-based solution to classify social media data discussing medication. This project contributes to better understand public discourse around healthcare.
Fine-tuned a stable diffusion model to generate images from textual prompts. This Generative AI project explored creative uses of AI for digital art and content generation.
Comprehensive analysis of shopping mall purchase data for insights into customer behavior and sales trends.
An NLP-based project that employs a fine-tuned legal BERT model to identify legal sections from textual descriptions of cases, aiding in legal research and documentation.
Developed a chatbot that integrates a RAG model and fine-tuned Stable Diffusion model to provide both textual and image-based responses, with a focus on assisting users in cooking Indian cuisine.
Built a Streamlit app that uses Meta’s Audiocraft to generate music from textual prompts. The project combines AI and creativity to produce customized soundtracks.
Designed an NLP-based model to analyze the sentiment behind textual reviews, helping businesses understand customer opinions.
Fine-tuned Nvidia’s Tacotron 2 TTS Model to create a system that converts text into natural-sounding speech, enhancing accessibility and user interaction.
Implemented a clustering algorithm using K-means to group retail customers based on purchase history, providing valuable insights for targeted marketing.
Conducted a comparison of various machine learning models to detect emotions from speech, analyzing performance metrics to identify optimal solutions.
An application using ML models to detect emotions from video frames and audio.
Built a RAG model to handle question-answering tasks related to intellectual property laws, improving accessibility to legal information.
A suite of models that use Deep Learning and OpenCV to colorize images and videos to ease their analysis.
It is a CNN model trained to detect morphed facial images.
A CNN model that analyses images to detect presence of tumour.
Developed a MEAN stack-based news portal for delivering real-time updates, providing users with liberty to post local news, and seamless and dynamic browsing experience.
Created a city-wide facility, primarily waste management system using IoT and Django framework. This solution included real-time waste tracking, database integration, and an interactive user interface designed with HTML, CSS, and JavaScript.
Email: annapurnapadmaprema@gmail.com
LinkedIn: www.linkedin.com/in/annapurnapadmanabhan
GitHub: annapurna1702
HuggingFace: annapurnapadmaprema-ji