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Anushka Shendge

@AnushkaShendge

πŸ‘‹ I'm a BTech CSE student at Sardar Patel Institute of Technology, passionate about building impactful web and AI applications. Skilled in React, Node.js, MongoDB, and TensorFlow.

πŸ‘‹ I'm a BTech CSE student at Sardar Patel Institute of Technology, passionate about building impactful web and AI applications. Skilled in React, Node.js, MongoDB, and TensorFlow.

Skill iconPython
Skill iconJavaScript
Node.js
Skill iconTypeScript
Skill iconReact.js

Mumbai, India

🌟 Anushka Shendge - Software Developer

πŸ‘©β€πŸ’» About Me
I am a technically adept and ambitious software developer pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at Sardar Patel Institute of Technology, Mumbai, India. With a commendable CGPA of 8.43, I balance academic excellence with hands-on project experience, focusing on cutting-edge technology and impactful problem-solving.
🏫 Education
Sardar Patel Institute of Technology, Mumbai, India
B.Tech in CSE with Specialization in AI-ML
CGPA: 8.43 (Nov. 2022 - Present)

πŸ’‘ Projects
1. StudyBuddy - Your Ultimate Study Companion
πŸ”— GitHub Repository: https://github.com/vvinayakkk/StudyBuddy
Description:
A collaborative learning platform designed to connect students and enhance group study sessions. Built using modern web technologies, the platform focuses on improving productivity and knowledge sharing among peers. The app also integrates video calls, real-time communication, and AI-powered tools to foster a productive and supportive learning environment.

Key Features:

πŸ’¬ Real-time group and private chat for seamless communication during study sessions.
πŸ“… Personalized study schedules and progress tracking to manage learning goals effectively.
πŸ“š Shared resource library for documents, notes, and assignments, enabling easy access to study materials.
πŸ“ Customized test series to assess knowledge and improve performance.
πŸ“Š Interactive dashboards with performance insights to track learning progress.
πŸ”” Task reminders and group notifications to stay on top of assignments and deadlines.
πŸŽ₯ Video calls using Twilio API for virtual study sessions, with bad word detection powered by an ML model to ensure a safe environment.
πŸ€– LangChain-powered chatbot for instant support, answering study-related questions, and offering guidance.
πŸ“„ ChatPDF integration to ask questions and clarify doubts on uploaded PDF documents, enhancing learning efficiency.
Technologies Used:
React, Node.js, MongoDB, Django, PostgreSQL, Express.js, Socket.IO, Twilio API, Material-UI, ShadCN, Aceternity UI, LangChain, ML models, JWT.

2. Healthcare and Mental Wellness Platform
πŸ”— GitHub Repository: https://github.com/HARSHITBHANUSHALI/HarshitBhanushali-HealthcareAndMentalWellness
Description:
A comprehensive web app to improve access to healthcare and mental wellness resources, developed using the MERN stack and integrated with ML models. The platform offers personalized support for both healthcare seekers and medical professionals, featuring separate dashboards tailored to their needs.

Key Features:

πŸ–₯️ Dual Dashboards: Separate dashboards for healthcare seekers and doctors with tailored functionalities.
🌈 Mood assessment quizzes and emotion tracking to monitor mental health.
πŸ“¨ Weekly report mailing based on journal entries analyzed by ML models.
πŸ€– Multilingual chatbot for 24/7 mental health support.
πŸ§‘β€πŸ€β€πŸ§‘ Community forum, live chat, and video calls to connect with others.
πŸ—ΊοΈ Map API integration for finding nearby healthcare facilities an
Technologies Used:
React, Node.js, MongoDB, Django, Express.js, Socket.IO, Twilio API, Material-UI, ShadCN, Aceternity UI, LangChain, ML models, JWT.
3. Chatbot (ML)
πŸ”— GitHub Repository: https://github.com/AnushkaShendge/Chatbot_ml
An intelligent chatbot powered by machine learning, designed for interactive and context-aware conversations. The chatbot leverages advanced NLP techniques to understand and respond to user queries effectively.

Key Features:

🧠 Natural language understanding for contextual responses.
πŸ” Pre-trained ML models for intent recognition and sentiment analysis.
🌐 Personalized conversation flow based on user interactions.
❓ Support for multiple query types, including FAQs and custom queries.
βš™οΈ Easily extensible for integration with various applications.
Technologies Used:
Python, TensorFlow, NLTK, scikit-learn.
πŸ’» Technical Skills
Languages:Java, C++, SQL, HTML, CSS, Python, JavaScript
Frameworks: Node.js, Express.js, React.js, TensorFlow, Keras
Tools: Git, GitHub, VS Code, WebSockets
Databases: MongoDB, MySQL, PostgreSQL
Coursework: Machine Learning, Deep Learning, Data Structures, Algorithms, Operating Systems

πŸ“œ Certifications
Machine Learning A-Z | Udemy

πŸ† Achievements
🌍 World Rank 4: Odoo X Amalthea, IIT GandhiNagar Hackathon 2024, a national-level hackathon.
πŸ’» Ranked in the top 3,000 among 20,000+ participants in LeetCode contests.

πŸ“ž Contact Me
Email: [email protected]
GitHub: AnushkaShendge
LinkedIn: Anushka Shendge
Mobile: +91 7977409706