π¬ Movie Recommender System
Machine Learning Movie Recommendation System built with Flask and deployed as a web application. Uses content-based filtering and cosine similarity to recommend similar movies based on metadata.
Computer Science undergraduate passionate about building AI-powered applications, solving real-world problems, and creating impactful software solutions.
I am a Computer Science undergraduate at IIIT Sri City with strong interest in Machine Learning, Data Science, AI, Web Development, and Problem Solving. I enjoy building real-world software solutions that combine intelligent systems with practical user-focused design.
Currently pursuing B.Tech in Computer Science & Engineering, I actively contribute to open source, pursue cutting-edge certifications, and build end-to-end AI-powered applications β from model development to web deployment.
Technologies and tools I've worked with
A selection of real-world AI & web projects
Machine Learning Movie Recommendation System built with Flask and deployed as a web application. Uses content-based filtering and cosine similarity to recommend similar movies based on metadata.
Centralised event management platform for end-to-end event execution with post-event analytics to measure performance and engagement. Built under IIIT Sri City FSD org.
AI-powered personalised dietitian platform integrated with Swiggy to recommend, customise, and analyse meal orders based on user health goals, dietary restrictions, and nutrition tracking.
Contributed to the Cara E-commerce Open Source Project by building a Track Your Order page β improving customer experience and strengthening collaborative GitHub workflow skills. This contribution involved PR reviews, issue triaging, and cross-team collaboration in a real open-source environment.
Andrew Ng β Stanford / DeepLearning.AI
Bachelor of Technology β Computer Science & Engineering
My open source activity and coding footprint
Live stats for @nandan075 Β· 4 public repos Β· 11 followers
Whether it's an internship, research collaboration, or just a conversation about AI β I'd love to hear from you!