Internship_Presentation_datascirncehar038.pptx

Data science and machine learning internahip

1. Visvesvaraya Technological University Belagavi- 590018 Internship Presentation On “DATA SCIENCE AND MACHINE LEARNING” As partial fulfillment of requirement for the award of the Bachelor of Engineering in Electronics and Communication Engineering For academic year 2023-2024 GUIDED BY Prof. Shoba H Submitted By Harshavardhan NH 1SG20EC037 Sapthagiri College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi & Approved by AICTE, New Delhi) Accredited by NAAC with ‘A’ Grade ISO 9001-2015 and 14001-2015 certified Institute Bengaluru, Karnataka 560057 2023-2024 1 20/03/2024

2. CONTENTS About the Company About the Internship Objectives Learnings Project Conclusion Certificate 20/03/2024 2

3. ABOUT THE COMPANY UniConverge Technologies Private Limited is located in Noida. It offers a wide variety of services and solutions across the world in IOT, Wireless Communication, Industry 4.0 & Predictive Maintenance. For developing its products and solutions it is leveraging various Cutting Edge Technologies e.g., Internet of Things (IoT), Cloud computing (AWS, Azure), Machine Learning, Communication Technologies (4G/5G/LoRaWAN), Java Full Stack, Python, Front end etc. MISSION : To empower business to succeed in a rapidly evolving digital landscape. By providing innovative and customized solutions that meet the unique needs of each of their clients. They believe in building long-lasting relationships with clients based on trust, transparency, and mutual respect. 3 20/03/2024

4. VISON : To offer organizations across the world, a wide amount of services and solutions in the Wireless Communication and IOT domain. They are committed to continuously evolving and staying ahead of the curve to provide the best possible solutions to their clients. Other Entities of UniConverge Technologies (UCT) 4 20/03/2024

5. ABOUT THE INTERNSHIP The Industrial Internship was provided by Upskill Campus in collaboration with Industrial Partner UniConverge Technologies Pvt Ltd (UCT). There were 2 domains in which the Internship was offered one is the Data Science and Machine Learning and other is Cloud Computing. The Internship was held online for the duration of 6 weeks (5 th Aug to 15 th Sep 2023) on the domain of “Data Science and Machine Learning”. LMS portal was provided which consisted of all the study materials since we had to self study and the reports had to be uploaded in the LMS. Weekly reports had to be submitted through LMS and a project was assigned to each group consisting of 4 members and it’s report had to be submitted at the end of 6 th week. 20/03/2024 5

6. OBJECTIVES OF INTERNSHIP To get practical experience of working in the industry. To solve real world problems. To have improved job prospects. To have improved understanding of the field and its applications. To have personal growth like better communication and problem solving. 20/03/2024 6

7. LEARNINGS Basic knowledge about Data Science and Machine Learning. Various technologies used in this domain. Applications of Data Science and Machine Learning. Python concepts and library usage. Learned about AI vs Data science. Introduction to probability and statistics. Data science skills like Programming, Mathematics, Machine learning, Deep learning and Big data. 20/03/2024 7

8. PROJECT Topic : Advancing Crop Production in India through Predictive Analytics Aim : To develop a comprehensive understanding of various factors influencing crop yields and create predictive models that can assist in making informed decisions for the agricultural sector. Significance : The project's significance lies in its potential to revolutionize agricultural practices in India. By accurately predicting crop production, farmers, policymakers, and agricultural businesses can make more informed decisions, optimize resource utilization, and mitigate risks associated with unpredictable crop yields. 20/03/2024 8

9. 20/03/2024 9 RESULT

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12. PROJECT OUTCOME OF THE PROJECT Improved Yield Prediction: Developed models accurately forecast crop yields, aiding in optimal planting and management practices. Disease Detection: Predictive algorithms enabled early disease detection, minimizing crop losses through targeted interventions. Resource Optimization: Models optimized resource allocation, reducing waste and maximizing yields. Data-Driven Decision Making: Empowered farmers with actionable insights for informed decision-making in crop selection and management. 20/03/2024 12

13. CONCLUSION The online internship for the span of 6 weeks was a good experience and to work on project. Various skills were required/learned to complete the project like data analysis, predictive modelling, and machine learning algorithms. Quizzes were conducted in order to check our knowledge based on the learnings. Discussion forum was provided to clarify any doubts. The internship has enhanced the technical skills as well as problem-solving abilities, and teamwork. 20/03/2024 13

14. CERTIFICATE 20/03/2024 14

15. THANK YOU 20/03/2024 15