Developed a cross-platform mobile app using Flutter for students aged 12–18, featuring six interactive modules on Personal Development, Environment, Financial Literacy, Health and Hygiene, Science and Technology, and Social Awareness.
Integrated a machine learning-based waste detection model to promote environmental consciousness through real-time image recognition.
Focused on user-friendly UI/UX design to enhance engagement, supporting the NGO’s mission to foster holistic growth and learning among underprivileged youth.
FlutterMLUI/UX
Machine Learning Intern — iNeuron.AI
Sept 2024 – Oct 2024 • Remote
Developed a deep learning-based text summarization model to condense lengthy news articles into concise 3–4 sentence summaries, leveraging advanced NLP techniques including transformer architectures.
Implemented a user-friendly web application for real-time article summarization and experimented with both extractive and abstractive approaches to enhance summary quality.
Focused on preserving contextual relevance and clarity in summaries while optimizing model performance for practical deployment.