ABOUT ME Hey there! I'm Sreeja, a passionate Computer Science and Engineering student with a deep interest in Artificial Intelligence and Machine Learning.

Currently Working On *AI-powered Autocorrect Tool\ Using T5/BART, Hugging Face Transformers, FAISS, and Streamlit — integrating RAG architecture and grammar correction with a clean UI. Tailored to understand context and provide intelligent corrections in real-time. *Multilingual Fake News Detection\ Leveraging mBERT, OCR, and similarity scoring — integrating NewsAPI and supporting fact-checking across multiple languages and code-mixed content. Focused on enhancing credibility analysis in diverse linguistic settings. *Generative AI Projects Contextual Interview Coach: A GenAI assistant that evaluates answers, suggests improvements, and simulates dynamic interviews based on domain-specific datasets. *Text-to-Insights Engine: Converts long-form data (PDFs, articles) into structured Q&A and summaries using RAG and document embeddings for education and research support. Looking For Help With *Optimizing vector-based search and retrieval-augmented generation pipelines. *Structuring large-scale multilingual datasets and integrating real-time ETL pipelines. *Enhancing accuracy and explainability in token classification and NER tasks. I'm Looking to Collaborate On *Research-based AI/ML projects with a focus on NLP, safety-tech, or misinformation detection. *AI for social good — especially education, safety, and low-resource languages. *Building full-stack AI products that bridge research with usable, accessible solutions. I'm Currently Learning *Advanced NLP and retrieval architectures. *Fine-tuning and working with large language models. *DSA in C *Deployment best practices for Streamlit, FastAPI, and MLOps

💻 Tech Stack: Python C GraphQL MySQL MongoDB MySQL MongoDB Django mlflow Matplotlib NumPy Pandas PyTorch