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🤖 An Intelligent Chatbot: Powered by the locally hosted Ollama 3.2 LLM 🧠 and ChromaDB 🗂️, this chatbot offers semantic search 🔍, session-aware responses 🗨️, and an interactive Streamlit interface 🎨 for seamless user interaction. 🚀
An interactive dashboard visualizing and analyzing key variables in police killings trends in the United States from 2015-16, including race, age, location, time, and armed status. This dashboard is made possible by Dash, Plotly, and Altair.
PyPlasmaFractal: A Python application for real-time generation of complex fractal noise visuals with feedback effects, featuring interactive controls, diverse effects, and video recording capabilities.
Computer vision project that classifies 101 food categories with 80.2% accuracy using fine-tuned EfficientNetB2 and PyTorch. Features interactive Gradio UI, optimized inference (~100ms/image), and strategic training on 20% of Food101 dataset for efficient resource utilization.
A music recommendation system built using Collaborative Filtering on the Spotify Million Playlist Dataset (170,089 songs). The system suggests songs based on user preferences, utilizing collaborative filtering to recommend tracks. It features a Streamlit web interface for easy user interaction.
This project demonstrates how to control your computer's mouse using hand gestures with a webcam and the MediaPipe library. By tracking the position of your index finger and thumb, you can perform mouse actions such as clicking and moving the cursor, offering a touch-free interaction with your computer.
A dynamic Python-based dashboard for visualizing and analyzing data with interactive elements. Built using popular libraries like Plotly and Dash, designed for intuitive data exploration.
Ask questions about any image using AI. A smart Streamlit app powered by BLIP that answers visual questions, generates captions, and lets you download a PDF report.
🌿 An interactive AI-powered plant that reacts to your facial emotions. Built with Transformers, PyTorch, and Streamlit — capture your mood, and the plant responds with joy, calmness, or sadness!
Smart Object Removal using LaMa + Segment Anything with Streamlit UI : A computer vision project combining Segment Anything (SAM) for dynamic object masking and LaMa for high-quality inpainting. Built with PyTorch, OpenCV, and Streamlit for a seamless user interface.
An intelligent web-based health assistant that analyzes user symptoms and uploaded medical reports to generate a personalized medical summary, including condition suggestions, lifestyle advice, and a downloadable PDF report.