Advanced Sentiment Analysis on Reddit Posts Using Machine Learning and NLPDeveloped an advanced sentiment analysis system specifically designed to analyze Reddit posts. Leveraging natural language processing (NLP) and machine learning techniques, this project extracts and evaluates user opinions from Reddit, detecting a range of sentiments including positive, negative, neutral, and various emotional tones like anger, joy, and surprise.Key highlights of the project:~Utilized deep learning models, including LSTM and BERT, to achieve high accuracy in sentiment classification.~Preprocessed Reddit data using techniques like tokenization, stop-word removal, and word embeddings (Word2Vec, GloVe).~Integrated APIs to perform real-time sentiment analysis on Reddit discussions, with deployment on a cloud platform for scalability.~Created visualization dashboards to track sentiment trends across subreddit communities, providing insights for community engagement and content strategy.

As a Robotics Developer for the IRoC-U 2024 team, played a pivotal role in designing, coding, and optimizing the rover’s movement systems. Their expertise in embedded systems and machine learning allowed them to create efficient control algorithms that ensured smooth and reliable navigation in challenging extraterrestrial environments.Was responsible for developing the movement control architecture, integrating sensors, and ensuring seamless communication between hardware and software. They also contributed to the overall design of the rover, selecting appropriate materials and components to maximize performance. Their embedded coding skills were crucial in building robust and efficient systems that could handle complex operations under varied conditions.When faced with technical challenges, led the way in applying innovative techniques and leveraging a deep understanding of robotics. Through meticulous documentation and continuous refinement, they worked closely with the team to deliver a high-quality, competitive robotic solution, positioning the team strongly in the ISRO Robotics Challenge 2024.