final_ppt on industrial 6 weeks training in Igap

it is a industrial training report on IGAP technologies Pvt.Ltd

1. IGAP TECHNOLOGIES PVT. LTD., 4 TH LANE, RAJARAMPURI, KOLHAPUR - 416008 SANT GAJANAN MAHARAJ RURAL POLYTECHNIC, MAHAGAON - 416503 Implant Training Report Submitted By 1. Shubham Datta Gaingade 2. Darshan Vitthal Sutar 3. Omkar Jaywant Patil 4. Namdev Eknath Misal

2. CHAPTER 1 : ORGANIZATIONAL STRUCTURE OF INDUSTRY AND GENERALIZATION IGAP Technologies is a leading software development and training company specializing in real-time project development for web, mobile, and data technologies. With over 12 years of experience in the dynamic field of software development, Abhijit Gatade, the Director and CEO of IGAP Technologies Pvt. Ltd., dedicated to empowering IT professionals on their career journeys. Company has much staff to handle candidates and filled with technology to support creative work.

3. CHAPTER 2 : INTRODUCTION OF ORGANIZATION Company leading a talented team of developers and engineers to deliver innovative software solutions. Expertise in designing and implementing web applications, ERP systems, mobile apps, and data-driven solutions. Launching an online community for IT professionals seeking career guidance and counseling. Providing personalized coaching sessions, resources, and insights to help individuals make informed career decisions.

4. CHAPTER 3 : TYPES OF MAJOR EQUIPMENT’S AND MACHINES USED IN ORGANIZATION Device Manufacturer Acer,HP,Lenovo Operating System Windows 8,10 and 11 Memory 4Gb and 8Gb Hard Disk 512Gb Router Dual-Band(2.4GHz) Major equipments used :

5. CHAPTER 4 : DEVELOPMENT PROCESS ALONG WITH PRODUCTION PLANNING AND CONTROL METHODS Steps 1. Problem Definition 2. Data Collection 3. Data Preprocessing 4. Exploratory Data Analysis 5. Feature Engineering 6. Model Selection 7. Model Training 8. Model Deployment

6. CHAPTER 5 : TESTING OF FINISHED PRODUCTS ALONG WITH QUALITY ASSURANCE PROCEDURE 1. Unit Testing Test individual functions and components of the code. 2. Integration Testing Test the inthiegration of different modules and components. 3. End-to-End testing Ensures that the input to output flow works as intended. 4. Performance Testing Evaluate the performance of the model and system under various conditions.

7. CHAPTER 6 : MAJOR SOFTWARE PRODUCTS USED Visual Studio Code(VS Code) Free open source code editor developed by Microsoft with support by python. Anaconda A distribution of python for scientific computing and data science. Jupyter Notebook An open-source web application that allows you to create and shared documents containing live code,equations and visualizations.

8. CHAPTER 7 : SAFETY PROCEDURES FOLLOWED AND SAFETY GEAR USED Safety Procedures And Safety Gears : 1. Workstation Setup : Ensure that desks,chairs and computer screens are set up to good posture. 2. Emergency Exits : Clearly marked emergency exits and ensure they are obstructed. 3. Electrical Safety : Ensure that electrical equipment is properly maintained and avoid overloading power outlets. 4. Fire Safety : Maintain fire extinguishers. 5. Adjustable Chairs : Provide chairs with lumbar support and adjustable height to ensure comfort.

9. CHAPTER 8 : PARTICULARS OF PRACTICAL EXPERIENCES IN ORGANIZATION We completed our industrial training at IGAP Technologies. Our training was of 6 weeks. During our 6 weeks training we were assigned with different tasks such as Model selection, Training, and Deployment. We all worked on live project named “Car Prediction Website”. Also worked on following websites : PlayStation Games Instagram Followers Mental Health

10. CHAPTER 9 : DESCRIPTION ABOUT PROJECT The primary objective of this project is to develop a predictive maintenance system on datasets. By leveraging machine learning algorithms, the system aims to predict sets failure before they occur, thereby reducing failures, maintaining algorithm and improving overall operation. The project involves collecting and analyzing data from various datasets, developing predictive models to forecast potential failures and deploying the models in a real-time monitoring system. Also have some screenshots of our websites :

11. CHAPTER 10 : SPECIAL EXPERIENCE ENCOUNTERED DURING TRAINING During training, one of the most remarkable experiences was when the model started to generate coherent and contextually appropriate responses that showcased an understanding of complex topics. This transition marked a significant milestone, demonstrating the effectiveness of the training data and methodologies used. Another special experience was witnessing the models ability to learn and adapt to various conversational dataset. The model began to not only understand and respond to factual questions but also to engage in more interactions, such as providing empathetic responses or crafting creative predictions. In last two weeks, we has given tasks like finding the dataset, performing operations on it, train them in specific algorithms, and deploy them on web. This helped us to improving our practical skills as well as enhancing our knowledge.

12. THANK YOU