shreyaprasad21 Goto Github PK

followers: 3.0 following: 11.0 repos: 16.0 gists: 0.0

Name: Shreya Prasad

Type: User

Company: Vellore Institute of Technology

Bio: 👨‍💻BTech student | Passionate about Machine Learning & AI | Ready to collaborate 🤖🔬

Twitter: prasad_shr37791

Location: Mumbai

Blog: https://shreyaaprasad.vercel.app/

Hi there

⚡ About Me 👧

👩‍💻 Final year B.Tech student at Vellore Institute of Technology, Vellore
🌍 I'm based in India
🚀 Experienced in ML and DS projects
🔎 Seeking exciting opportunities in Data Science
✉️ You can reach me by email

⚡ Reach Out and Connect 🤝

💌 Social Handles	🌐 Coding Handles

⚡ Tools and Technologies 🤖

👩‍💻 COMPETITIVE PROGRAMMING	💡 MACHINE LEARNING	📊 DATA SCIENCE	👁️ OTHERS

⚡ Statistics 📈

⚡ Mapping My Contributions 👊

⚡ My GitHub Commits 🌱

⚡ GitHub Trophies 🏆

Shreya Prasad's Projects

basic-chatbot

The code creates a chatbot using NLTK for sentiment analysis and TF-IDF for word embedding. It reads and visualizes dialogues, performs text normalization, and employs cosine similarity to match user queries with dataset responses. The chatbot handles low-confidence cases and allows user interaction until typing 'exit.'

credit-card-fraud-detection

This Python project uses Isolation Forest for credit card fraud detection, analyzing transaction data and visualizing distributions. It employs PyCaret for model comparison, highlighting Random Forest. The project is concise and effective for fraud detection.

dna-classifiation-for-detecting-ecoli

The DNA Classification for E.Coli project, built on Django, uses an MLPClassifier to predict E.Coli presence in DNA sequences. The web app allows users to input sequences and view classification results. The project is structured for reproducibility and deployment.

emotion-detection-application

Django app leveraging neural networks for emotion recognition using scikit-learn MLP model trained on RAVDESS dataset. Clean UI allows users to upload audio for emotion prediction. Repository includes model, Django components, and management script. Clone and run at http://localhost:8000.

encryptix-projects

This repository contains three AI and machine learning projects completed during the internship at Encryptix: Face Detection and Recognition System, Netflix Recommendation System, and Tic-Tac-Toe. Each project includes data preprocessing, model building, and evaluation, using OpenCV, deep learning, collaborative filtering, and game AI algorithms.

face-detection-applciation

This repository contains a Python face detection application built using Streamlit and OpenCV. The application leverages the power of real-time face detection through a webcam or video stream and includes interactive elements like a sidebar for profile details and user preferences.

feynn-ai-product-prototype

This project was developed during a 3-month internship program at Feynn Labs. The repository contains a DNA classification app for detecting E. Coli, leveraging machine learning techniques.

feynn-ev-market-analysis

This project was developed during a 3-month internship program at Feynn Labs. The project analyzes the feasibility of an Electric Vehicle (EV) startup in India, focusing on the 2-wheeler and 4-wheeler markets. It explores market growth, consumer needs, and differentiation strategies for success.

feynn-market-segmentation-mcdonalds

This project was developed during a 3-month internship program at Feynn Labs. The project replicates a McDonald's case study using Python. It involves data analysis, PCA for dimensionality reduction, KMeans clustering, segment profiling, and decision tree classification for marketing segmentation,

project-1-business-purpose-chatbot

This repository features my first project completed during my winter internship at Nexus Info. Using advanced Natural Language Processing methods, the project focuses on building a business-purpose chatbot to improve user engagement and sentiment analysis.

project-2-college-query-chatbot

This repository showcases my second project developed during my internship at Nexus Info. The project centers around building a specialized chatbot tailored for college-related queries, enhancing user engagement and providing informative responses.

project-3-multiple-disease-detection

This repository highlights my third project developed during my internship at Nexus Info. The project focuses on creating a robust system for detecting multiple diseases using advanced machine learning techniques, aiming to assist healthcare professionals in accurate diagnosis and treatment planning.

shreyaprasad21

Config files for my GitHub profile.

text-detection-recognition-application

This repository includes a Python Text Detection App using TesseractOCR and OpenCV to extract and process text from images. It manages basic text extraction and advanced image preprocessing for improved accuracy. Also, it features a Flask web app with a user-friendly interface for uploading images and viewing extracted text.

unity-ar-application

Discover the possibilities of Augmented Reality (AR) with Unity-AR-App. This demo application demonstrates basic AR capabilities through interactive 3D models in a virtual environment. Deployed on Android, with visuals provided for a preview.

voice-assistant-application

The voice assistant is a Python project that employs speech recognition and text-to-speech functionalities. it greets users based on the time of day and is capable of answering questions using Wikipedia, opening specific websites like YouTube or Google and providing the current time. This project showcases a basic but functional voice assistant