LIKHITHA P

MCA graduate with a strong foundation in programming, software development, and database management. Proficient in Java, Python, and various web technologies, enabling effective contributions to innovative projects. Committed to leveraging technical skills in a dynamic, growth-oriented environment to foster personal and organizational success. Passionate about continuous learning and adapting to emerging technologies to drive impactful solutions.

1. Project Title: Early Detection of Autism Spectrum Disorder using Machine Learning November 2023- July 2024  

Description of the Project: Developing a predictive analysis system for autism spectrum disorder (ASD) using machine  learning. Leveraging clinical, genetic, and behavioral data to create a reliable, interpretable model for early diagnosis and  intervention.

2. Project Title: Water Quality Prediction using Machine Learning November 2023- April 2024  

Description of the Project: The project aims to develop a predictive analysis system for water quality using machine  learning techniques. By leveraging a comprehensive dataset of various water quality parameters, the project seeks to  identify patterns and features that indicate water quality levels. The ultimate goal is to create a reliable and interpretable  model that can assist environmental agencies in monitoring and maintaining water quality.

3. Project Title: Smart Dustbin using IoT November 2023- April 2024   

Description of the Project: The Smart Dustbin project aims to develop an IoT-enabled waste management system that  monitors waste levels in real-time and optimizes collection processes. By using sensors to detect fill levels and  environmental conditions, the system sends data to a cloud platform, allowing waste management authorities to manage  resources more effectively, reduce collection costs, and improve overall urban cleanliness.

4. Project Title: Face Expression and Drowsiness Detection using Python July 2021- November 2021   Description of the Project: The Face Expression and Drowsiness Detection project aims to develop a system that can  analyze facial expressions and detect signs of drowsiness in real-time. By utilizing computer vision and machine learning  techniques, the system can alert users (such as drivers or operators) to potential fatigue or distraction, enhancing safety in  various applications.

Technical Skills:

• Programming: C, C++, Object-Oriented Design, Data Structures & Algorithms, Python, Java,
• Embedded Systems: Real-time software, Device Drivers, Linux Kernel, BSP.
• Platforms: Android, Linux, Windows Mobile development.
• Networking: TCP/IP, UDP, SIP, RTP; 4G LTE, GSM/UMTS, WiFi, Bluetooth.
• Multimedia: Audio/Video codecs, Image Processing, Multimedia frameworks

 Soft Skills: 

• Strong verbal and written communication,
• Problem solving and analytical thinking.
• Decision making and judgement.
• Logical reasoning to identify solutions.
• Ability to apply rules to real problems

• Research paper on Predictive Analysis of Autism Spectrum Disorder: Early Detection using Machine Learning.
• Review paper on Wearable Devices for Animal Health Monitoring published by East African Scholars Publisher, Kenya.
• Bharatanatyam Junior, Senior, Vidwath level Examination under KSEEB
• Carnatic Music Junior level Examination under KSEEB
• Hindustani Music Parambhik level Examination under MSBSHSE
• State level NSS certification
• Outstanding Achievement in cultural for class of 2024
• Cultural department head at school & college.