Mini Project: Chatbot Using Machine Learning

Tools: Python, NLP, Scikit-learn

Developed an intelligent chatbot using Python and NLP techniques, powered by a machine learning classification model. Implemented algorithms like Linear Regression, Decision Trees, k-Nearest Neighbors, Random Forest, and SVM.

Challenges: Optimizing model accuracy and handling diverse user inputs.

Outcome: Achieved 85% accuracy in intent recognition, enabling seamless user interactions.

Mini Project: Shopping Cart System using Python

Tools: Python, pywhatkit

Built a command-line shopping cart system with user login/signup, product browsing, cart management, and bill generation. Integrated pywhatkit to send bills via WhatsApp. Used file handling for user credentials and inventory.

Challenges: Ensuring secure file handling and WhatsApp integration.

Outcome: Delivered a scalable system with modular code, used by 50+ test users.