Kismat Gill’s Post

I'm thrilled to share that I have successfully completed task 2 in my one-month Machine Learning Internship at Code Alpha! 2️⃣ Disease Prediction: In Task 2, I focused on disease prediction from medical data, specifically working on heart disease prediction. This allowed me to apply advanced machine learning techniques to analyze complex medical datasets, aiming to improve early detection and treatment strategies. #MachineLearning #Internship #CodeAlpha #CreditScoring #DiseasePrediction #HeartDisease #DataScience #AI #CareerGrowth

Intern Spotlight: Meet Saumil Chukka! Join us this summer as we learn more about the dedicated interns working at Envisagenics. Up first is Data Science Intern Saumil Chukka!  Hometown: Virginia School: The University of Virginia Degree: Computer Science and Neuroscience Class: 2026 Why intern at Envisagenics: "I'm interested in the intersection of Computer Science and Biology, particularly how Machine Learning can be used to predict and determine biological patterns. I was intrigued by Envisagenics' goal to use Machine Learning to identify novel therapeutics for future drug development." What are some of your interests outside of work: "In my free time, I play and watch a lot of soccer, try different types of food, and travel." What are your plans after completing this internship: "After this internship, I will go into my 3rd Year at the University of Virginia. After I graduate, I hope to work toward a Master's Degree in Data Science or Bioinformatics."

🎓 Summer Internship at The LNM Institute of Information Technology🎓 I am thrilled to share that I completed my summer internship at The LNM Institute of Information Technology, where I worked on a project titled "Deep Learning-Based Brain Tumor Detection and Classification" under the mentorship of Dr. Kusum Lata , I developed a model that predicts brain tumors without human intervention. This model enhances diagnostic accuracy, speeds up the diagnosis process, reduces costs, ensures consistent results, and can be deployed in under-resourced areas. During this internship, I gained hands-on experience with deep learning techniques, neural networks like EfficientNet, and managing large MRI datasets. I learned how to evaluate and fine-tune models, and enhanced my problem-solving abilities by tackling real-world challenges in medical imaging. This experience also taught me the value of teamwork and mentorship. 🚀 This internship has been transformative, reinforcing my passion for AI/ML and deep learning. I'm grateful to Dr. Kusum Lata for her invaluable guidance and to The LNM Institute of Information Technology for this opportunity. I look forward to applying these skills in future projects! #Internship #DeepLearning #BrainTumorDetection #AIinHealthcare #MedicalImaging #MachineLearning #AI #Research

I am thrilled to announce that I have successfully completed my summer internship organized by the Center for Data Science and Applied Machine Learning, Department of Computer Science and Engineering, PES University. During this internship, I had the opportunity to work on an impactful project titled "Report Generation for Chest X-ray Images Using Deep Learning" under the guidance of Mahita Mam. Our project aimed to revolutionize the way chest X-ray reports are generated by developing models that automate and standardize the reporting process. By leveraging deep learning techniques, our approach addresses the shortage of radiologists, handles routine cases efficiently, and significantly reduces diagnostic delays. This improves patient care but also helps radiologists focus on more complex cases. Additionally, our project aims to standardize report quality and serve as a valuable educational resource for medical training. I’m grateful for this experience and excited about the potential impact of our work in enhancing diagnostic accuracy and healthcare efficiency. Looking forward to the next steps in my journey! #Internship #DeepLearning #HealthcareAI #DataScience #MachineLearning #ChestXray #MedicalAI #PESUniversity

Hello everyone, Excited to unveil my internship project at AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. "Unlocking insights visually: Exploring questions and answers through the power of data visualization". 📊💡 #AIMERS #AIMERSOCIETY #DATANALYSIS #AIChallenge #TechInnovation #DataScience #MachineLearning #AIForGood #DataVisualization

Completion of AI-ML Internship at #internjunctionDuring my AI-ML internship at #internjunction, I successfully designed and developed three machine learning models that tackled real-world challenges:Breast Cancer Prediction Model: Leveraging classification techniques, I built a model to predict breast cancer based on medical data, helping in early detection and potentially saving lives.Tesla Stock Price Prediction Model: Utilizing time series analysis and advanced regression methods, I created a model to predict Tesla's stock prices, providing insights into market trends and aiding in financial decision-making.House Price Prediction Model: By employing regression techniques and feature engineering, I developed a model to estimate house prices based on various factors, offering valuable assistance in real estate valuation.This internship allowed me to deepen my understanding of AI-ML concepts, apply them to practical problems, and refine my skills in data analysis, model building, and predictive analytics.

Disease Prediction from Medical Data This is a demo for task 4 for CodAlpha Machine Learning Internship. The problem was stated as follows: “Create a model to predict the likelihood of a disease based on medical data. Use datasets with labeled medical records and apply classification algorithms” Dataset can be viewed at: https://lnkd.in/dSS-Zvab Complete code can be viewed at: https://lnkd.in/d2CFwDVC If you have any queries feel free to contact me. Defining Problem ·       Problem Type: Multi Class Classification Problem Key Learnings ·       Encoding of multi-class classification variables Techniques ·       Classifier: Random Forest, Decision Trees, Logistic Regression, XGBoost, KNN #codealpha #codealphainternship

I am excited to share the details of my recent Research Summer Internship at Chandubhai S. Patel Institute of Technology, CHARUSAT! During my internship, I worked on a research project titled "Blood Cell Detection." In this project, we utilized various models of You Only Look Once (YOLO) to detect and classify blood cells from a dataset. We have used different YOLO versions like YOLO v5, YOLOv7, YOLO v8 and its variants, YOLO v9 and latest YOLO v10. By fine-tuning the hyperparameters, model accuracy was enhanced. The model performance was evaluated using performance metrics, including precision, recall, and F1-score. As a result, we developed a robust solution for accurate blood cell detection, which holds potential applications in medical diagnosis. I would like to extend my heartfelt gratitude to my mentors Dr. Nirav Bhatt and Dr. Jigar Sarda for their invaluable support and guidance throughout my internship. Special thanks to the AIML department and the entire institute for providing such a conducive learning environment. This internship offered me hands-on experience in applying machine learning and deep learning techniques to solve real-world problems, significantly upskilling my knowledge and abilities in these cutting-edge technologies.  #MachineLearning #DeepLearning #YOLO #BloodCellDetection #MedicalDiagnosis #AI

Hello Connections !! Just Completed 👉InternCareer👈 Machine Learning internship program. Task-2 : Breast Cancer Wisconsin (Diagnostic) " ➡ Machine learning is just a fancy term for computers playing hide and seek with data." " ✔ The six stages of machine learning: 1. Data Exploration, 2. Data Preprocessing, 3. Model Building,4.Model Evaluation,5. Model Tuning, 6.Documentation." " ✔ Machine learning algorithms are like toddlers - they learn from examples, make a lot of mistakes, and sometimes, you have no idea how they came up with that answer ⬅ . Thankyou Nallagoni Omkar for your guidance. Github-https://lnkd.in/gKccVRrC . . . . . #interncareer #internship #machinelearning #machinelearningalgorithms #machinelearningmodels

Hello Connections! I'm very delighted to share my moment with you. I was given a task as a part of my internship in AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society I completed my task on Image Classification which is based on the classification of images into different classes. #AIMERS #AIMERSSOCIETY #INDIANSERVERS #IMAGE #IMAGECLASSIFICATION