Incubator Presentation Summary

Good morning, everyone.

I’m Aditya Rawat and he is Jensilin. We are here to present the summary of our incubator and share what we’ve learned from it.

Name of Project

So the name of our project is Wheeled and arm Robotic simulation.

Project Overview

But before giving you the project overview let’s understand the problem statement for understanding the project better

Let’s assume we have to send a robot rover to the moon surface to get some samples, without knowing about the terrain how can we train our rover for sample collection?

📦 Import Libraries

import numpy as np
import pandas as pd
import sklearn as skl
import matplotlib.pyplot as plt

• numpy, pandas: Data manipulation

• sklearn: ML tools like vectorizers and train/test split

• matplotlib: Visualization (optional)

📚 NLP Preprocessing Setup

import re
import nltk
nltk.download('stopwords')
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer

• re: Regex for text cleaning

• nltk: Tokenization, stopwords, and stemming

🚫 Custom Stopwords

negatives = ['no', 'nor', 'not', "don't", ...]
all_stopwords = [w for w in stopwords.words('english') if w not in negatives]

Retains negative words like “not”, which are important for sentiment.