Nagaladoddi Mounika
AI & GenAI Developer | RAG & Python Apps
Created a short-form lifestyle Reel focused on a cozy coffee-shop experience.
I handled the visual sequence, pacing, clip selection, music, and overall storytelling to create a clean Instagram/TikTok-style edit.
Created as a personal portfolio sample to demonstrate short-form video editing and storytelling skills.
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Built a web-based Leave Management System to simplify employee leave requests and management.
The application provides a structured interface for submitting and managing leave requests, with a FastAPI backend connected to PostgreSQL for data storage and a Streamlit frontend for user interaction.
Built with: Python, FastAPI, PostgreSQL, Streamlit, and REST APIs.
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Built a machine learning application that analyzes Amazon customer reviews and predicts whether the sentiment is positive or negative.
The project uses TF-IDF to convert review text into numerical features and Logistic Regression for sentiment classification. The trained model is integrated into a Streamlit application so users can enter a review and receive a sentiment prediction.
Built with: Python, TF-IDF, Logistic Regression, Machine Learning, and Streamlit.
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Built an AI-powered Social Media Post Analyzer that analyzes social media content and generates structured insights using LLMs.
The application uses LangChain and Pydantic to process the input and return structured results through an interactive Streamlit interface.
Built with: Python, LangChain, Pydantic, Hugging Face, Streamlit, and LangSmith.
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