Projects
FileGenie: Your Documents, Instantly Answered
Python, RAG, Langchain, AWS, OpenAI, Flask, React, LLM
- Engineered a full-stack RAG application enabling users to upload PDFs and get contextual answers using Langchain and FAISS vector database for efficient document retrieval and embedding generation.
- Implemented session-based user isolation for secure multi-user support and deployed on Render with isolated storage for each user session, achieving fast and accurate document-based responses.
Product Advertiser : Transform Products Into Stunning Advertisements
Hugging Face, Stable-Diffusion, OpenCV, Python
- Developed a model using Hugging Face, Stable Diffusion, and OpenCV to generate advertisement visuals from product images guided by prompts.
- Applied computer vision techniques for background manipulation and enhanced image quality, ensuring brand alignment and visual appeal.
Vessel Identification in Dialysis Treatment
Python, YOLO(v7), LabelImg
- Collected a dataset of vein and artery images, enhancing YOLO v7 model training accuracy by 20% and reducing false positives by 15%.
- Used labelImg for data annotation and applied mAP metrics to evaluate classification accuracy, collaborating with medical experts for refinement.
Subtheme Sentiment Analysis
Python, Spacy, NLTK, Text Preprocessing
- Developed a sentiment analysis pipeline using Spacy and NLTK to extract and analyze subthemes from customer reviews.
- Implemented text preprocessing and pronoun resolution techniques to ensure accurate sentiment attribution for each subtheme.