Srikanth J’s Post

🚀 Excited to share that I've completed an enriching internship at Corizo, delving deep into the realms of Artificial Intelligence! From February 5th to March 5th, 2024, I immersed myself in a dynamic learning environment, honing my skills and gaining invaluable insights into cutting-edge technologies. During this immersive journey, I delved into Python, Pandas, NLP, Dictionaries, and the basics of machine learning. These tools and techniques have empowered me to tackle real-world challenges and craft innovative solutions. From data manipulation to natural language processing and machine learning essentials, the experience has been nothing short of transformative. I'm immensely grateful to the Corizo team for their guidance and mentorship throughout this journey. Their support has been instrumental in shaping my understanding and pushing the boundaries of my capabilities. Now, I'm excited to embark on the next chapter of my journey, armed with newfound knowledge and a passion for innovation. Let's connect and explore opportunities to collaborate, innovate, and make a difference in the world of Artificial Intelligence! 🌟 #ArtificialIntelligence #MachineLearning #NLP #Python #Pandas #DataScience #InternshipExperience #Corizo #Innovation #FutureReady

🎥 Excited to share a glimpse of my latest project! 🎥 As part of my internship at Codsoft, I developed a machine learning model that predicts movie genres based on plot summaries and textual information. Using techniques like TF-IDF and word embeddings with classifiers such as Naive Bayes, the model analyzes the text and makes genre predictions. Check out the video to see the model in action! 📽️ #MachineLearning #DataScience #AI #Python #NLP #MovieGenrePrediction #Codsoft #Internship #Tech #Innovation #LinkedInLearning #CodSoft #codsoft CodSoft

Excited to share that I've completed my third project during my internship with Code Alpha! 🤖 I built a basic chatbot using Python and NLTK, diving into the fascinating world of natural language processing. This project allowed me to explore how chatbots can enhance user interactions and improve communication efficiency. Grateful for the support from the Code Alpha team. Looking forward to taking on more innovative projects and expanding my skills! My project code is available at:https://lnkd.in/ggjA9CRm #PythonProgramming #CodeAlpha #Internship #Chatbot #NLP #ArtificialIntelligence

I'm excited to announce the successful completion of my Data Science INTERNSHIP at Arjun Vision Tech Solutions! 🎓 During this program, I have: ✨ Developed a solid foundation in AI, ML, DL, and Data Science, understanding their interconnections and applications. 🤖 ✨ Acquired proficiency in data collection, preprocessing, and manipulation using tools like NumPy and Pandas, and conducted exploratory data analysis to derive actionable insights. 📊 ✨ Applied machine learning models, including regression and clustering algorithms, and deepened my understanding of neural networks and optimization techniques like gradient descent. 📈 ✨ Gained hands-on experience with NLP techniques using libraries like NLTK and SpaCy, focusing on tasks such as tokenization, stemming, lemmatization, and named entity recognition. 💬 Successfully completed a comprehensive data science project, demonstrating my ability to apply theoretical knowledge to real-world scenarios and effectively communicate my findings. 📝 I’m grateful to the instructors and colleagues for their guidance and support. Looking forward to applying these skills in my professional journey! 🚀 #DataScience #AI #ML #NLP #ProfessionalDevelopment #CareerGrowth #ArjunVisionTechSolutions

🌟 Exciting News! 🌟 I am thrilled to share that I have successfully completed three challenging and rewarding internship tasks through ShadowFox! 🚀 1️⃣ Image Classification with TensorFlow: Task: Built a Convolutional Neural Network (CNN) to classify images from the CIFAR-10 dataset. Tools Used: TensorFlow and CNN. Achievements: Enhanced my skills in deep learning, model training, and image preprocessing. 2️⃣ Car Selling Price Prediction and Analysis: Task: Developed a machine learning model to predict car selling prices and performed an extensive analysis of the factors influencing these prices. Tools Used: Scikit-learn, Pandas, and Matplotlib. Achievements: Improved my understanding of regression techniques, feature engineering, and data visualization. 3️⃣ Implementing and Analyzing a Large Language Model (LLM): Task: Implemented a Retrieval-Augmented Generation (RAG) system and conducted an in-depth analysis of its performance and capabilities. Tools Used: Llama2 model from Hugging Face, Pinecone, Python. Achievements: Gained insights into natural language processing (NLP), RAG architecture, and the practical applications of LLMs. A heartfelt thank you to the entire ShadowFox team for their incredible support and guidance throughout these tasks. Your mentorship and feedback have been invaluable, and I am grateful for the opportunity to learn and grow through this experience. You can check the project code for these tasks through my GitHub repository from the link below. https://lnkd.in/dDKxBeiq Looking forward to applying these skills and knowledge in future projects and continuing my journey in the field of machine learning and artificial intelligence! 🤖✨ #MachineLearning #DeepLearning #DataScience #NLP #ArtificialIntelligence #TensorFlow #ScikitLearn #HuggingFace #Internship #ShadowFox #CareerGrowth

Hello Connections! Successfully completed my internship task 3 of building a simple chatbot using the NLTK library in Python! This project was a fantastic learning experience, diving deep into the basics of natural language processing. From tokenization and stemming to crafting meaningful responses, I explored how NLTK helps bridge the gap between human language and machine understanding. 1.The chatbot is capable of tokenizing and processing user input 2.Responding intelligently using context-based logic 3.Incorporating basic NLP techniques like stemming and lemmatization This task taught me the importance of understanding user intent and crafting responses that feel engaging. While the chatbot is simple, it marks a foundational step toward more advanced conversational AI systems. This accomplishment has further fueled my passion for NLP and AI. Can't wait to work on more complex projects! #chatbot #python #pythonprogramming #nltklib #AI #machinetranslation #internship #TechIndiaItSolutions Github URL: https://lnkd.in/gRdGJjM5

Hello guys..... ✨ Excited to announce the completion of my internship in Data Analytics. where I worked on projects focused on sentiment analysis and text summarization. During the program, I applied machine learning and natural language processing techniques to analyze data and extract meaningful insights. These projects deepened my understanding of text analytics and its applications in real-world scenarios. Looking forward to leveraging these skills in future data-driven projects! #CoderOne #AI

🚀 Internship Project at Cognorise Infotech: Spam Email Detection 🚀 I'm excited to share my latest project, part of my internship at CognoRise InfoTech, where I developed a spam email classifier using NLP and machine learning. Here’s a quick overview: Objective: Create a model to classify emails as spam or non-spam. Key Steps: Data Preprocessing: ▪ Handled missing values, duplicates, special characters, and stopwords. ▪ Applied stemming and used TfidfVectorizer for text vectorization. Model Training: ▪ Trained RandomForest, AdaBoost, KNeighbors, and LogisticRegression models. Performance Evaluation: ▪ Evaluated using accuracy, precision, recall, ROC curve, AUC, and confusion matrix. Achieved 96.7% accuracy with RandomForest, improved to 97.15% with GridSearchCV. Visualization: Created word clouds for spam and ham messages. #DataScience #MachineLearning #NLP #Internship #SpamClassification #Python #Project

Exploring SMS Spam Classification: Task 4 at Oasis Infobyte Internship. I’m thrilled to share insights into one of the tasks I worked on during my internship at Oasis Infobyte: SMS Spam Classification. Task Overview: The aim was to develop a classification model to detect spam SMS messages. This involved a series of detailed steps: 1. Data Loading and Preprocessing: - Dataset: Utilized the SMS Spam Collection dataset, containing both spam and ham (legitimate) messages. - Preprocessing: Cleaned the text data by lowercasing, removing punctuation, and eliminating numbers to standardize the dataset. 2. Feature Extraction: - TF-IDF Vectorization: Employed Term Frequency-Inverse Document Frequency (TF-IDF) to convert text data into numerical format, capturing the significance of words across the dataset. 3. Model Training and Hyperparameter Tuning: - Model Choice: Used Multinomial Naive Bayes, ideal for text classification tasks. - Hyperparameter Tuning: Applied GridSearchCV to find the optimal alpha value for the Naive Bayes model. 4. Evaluation: - Accuracy & Metrics: Achieved high accuracy in classifying SMS messages as spam or ham. Detailed the model’s performance using a classification report. - Confusion Matrix: Visualized model performance with a confusion matrix to better understand true vs. false positives and negatives. 5. Deployment: - Model Saving: Saved the trained model and vectorizer using joblib for future use. - Example Predictions: Tested the model with sample texts to demonstrate its effectiveness in real-world scenarios. 6. Challenges and Learnings: - Handling Imbalanced Data: Addressed the imbalance between spam and ham messages to enhance the model’s accuracy. - Model Optimization: Fine-tuned the model to balance precision and recall. This project was a fantastic learning opportunity, showcasing how machine learning can solve practical problems like spam detection. This task ignited my curiosity , inspiring me to learn more about GenAI and RAGs. A big thank you to Oasis Infobyte for the opportunity to dive deep into text classification! #DataScience #MachineLearning #NLP #SpamDetection #TextClassification #OasisInfobyte #InternshipExperience #CareerDevelopment

Excited to announce the completion of an awesome AI-driven SQL Insights project with Ezofis! 🌐 🔍 During my internship, I delved into SQL mastery and explored the latest AI techniques. Our main goal was creating a No Code AI Reporting For SQL Database. We built a solid dataset of 1000 question-based query pairs using NLTK, and incorporated a weather prediction dataset, ensuring careful labeling. I'm incredibly thankful for this valuable experience. Thanks for the opportunity! #Ezofis #AIDevelopment #SQLMastery #NLP #FlaskFramework