Shaik Yuva Mohiddin

BTech student specializing in Artificial Intelligence and Machine Learning, offering hands-on experience in software development, web technologies, and hardware integration. Proficient in Java, Python, and SQL, with a proven track record of delivering innovative projects, including IoT-based air quality monitoring systems and Raspberry Pi-powered proctored exam tools. Strong problem-solving abilities and a collaborative mindset are complemented by expertise in MySQL and Visual Studio Code. Committed to leveraging technical skills to drive impactful solutions in dynamic environments.

Software Engineering Job Simulation – Forage

Air Quality Detection System using Arduino : The Air Quality Detection System using Arduino monitors air pollution levels by measuring  parameters such as CO2, PM2.5, and PM10 using sensors. The Arduino processes the data and  displays air quality readings on an LCD or sends them to a connected device for real-time  monitoring, helping users track air quality and take necessary actions to improve it.

 Proctored Exam Tool using Raspberry Pi  :The Proctored Exam Tool using Raspberry Pi ensures exam integrity by using Raspberry Pi to  monitor candidates through video, facial recognition, and sensors. It detects suspicious activities in  real-time and sends alerts to prevent cheating. The system records the exam environment and  captures screenshots for verification.

Twitter Sentiment Analysis : Twitter Sentiment Analysis is the process of using Python to understand the emotions or opinions expressed in tweets automatically. By analyzing the text we can classify tweets as positive, negative or neutral. This helps businesses and researchers track public mood, brand reputation or reactions to events in real time. Python libraries like TextBlob, Tweepy and NLTK make it easy to collect tweets, process the text and perform sentiment analysis efficiently.