I am currently pursuing my Bachelors in Computer Engineering (3rd year).
I’m deeply passionate about Artificial Intelligence, Machine Learning, and Software Development, and I love working on projects that bring together research, creativity, and real-world impact.

I’m enthusiastic about:

• 🌟 Building AI-powered applications that solve real-life challenges
• 🌟 Exploring LLMs, Agentic AI, and cutting-edge ML models
• 🌟 Developing and deploying full-stack projects (frontend + backend + ML models)
• 🌟 Constantly learning and experimenting with new technologies

Here are some of the projects I’ve been working on that reflect my journey in AI and development:

A smart travel companion app designed to make trip planning effortless and fun.

• Provides cultural insights about destinations
• Shows real-time weather updates
• Interactive maps with attractions and route planning (powered by OpenTripMap API)
• Built-in chatbot support for instant help
• Redirects users to free flight & hotel booking resources

👉 Tech Stack: PHP, MySQL, HTML, CSS, JavaScript

An AI-powered assistant for documents, built to save time and simplify reading.

• Upload any PDF or text document
• Get a concise summary in seconds
• Ask questions and receive AI-generated answers from the document content
• Chat-style interface where all chats and documents are saved
• Secure login/signup system with MongoDB to retrieve previous sessions

👉 Tech Stack: FastAPI, Transformers, MongoDB, HTML, CSS, JavaScript

A project close to my heart that combines AI with sustainability.

• Uses CNN models to analyze land areas
• Recommends the most suitable tree species using KNN
• Predicts tree survival rates with LSTM
• Estimates carbon sequestration capacity using Gradient Boosting (GBM)
• Aims to support climate action through strategic reforestation planning

👉 Tech Stack: CNN, KNN, LSTM, GBM (Machine Learning models)

A machine learning app that predicts whether a person’s income falls above or below a certain threshold based on demographic and professional details.

• User-friendly web interface with smooth design
• Inputs are neatly arranged in forms with an attractive layout
• Prediction results are displayed in a bright, visually appealing output box
• Shows output as a readable statement (not just a number!)
• Fully integrated backend + frontend for deployment

👉 Tech Stack: FastAPI, Machine Learning, HTML, CSS, JavaScript

A healthcare-focused chatbot that helps bridge the gap between patients and doctors.

• Provides AI-assisted e-consultations
• Uses RAG (Retrieval-Augmented Generation) to fetch medical knowledge from trusted data sources
• Gives summarized insights for doctors and admins
• Designed for integration into hospital and clinic management portals

👉 Tech Stack: RAG, LLMs, FastAPI, Vector Databases

• 🔗 LinkedIn: www.linkedin.com/in/vinayak-mishra-94v1

⭐️ I’m always open to collaboration, new ideas, and meaningful discussions about AI, ML, and full-stack development!