CSC - Projects

Open Source Blog Platform

A full-stack blog platform using Node.js and React. It includes user authentication, post management, and a comment system.

GitHub Repository

Task Manager App

An app to manage tasks and deadlines, with features like reminders, task categories, and progress tracking.

GitHub Repository

Real-Time Chat App

Built with WebSockets, this app allows real-time messaging, user presence indicators, and chat history.

GitHub Repository

AI-Based Recipe Finder

Features: Personalized recipe recommendations based on ingredients, dietary preferences, and past searches.

Technologies: Python, TensorFlow, Machine Learning, Natural Language Processing (NLP), API Integrations (Edamam API)

Market Gap: While recipe apps exist, few personalize recipes based on dietary preferences and past cooking habits. AI can bridge the gap by making suggestions that improve meal planning and reduce food waste.

AI & Prompts: Use a recommender system based on collaborative filtering. You can train your AI model using user feedback (e.g., thumbs up/down) to improve recipe suggestions.

Resources: Edamam API, TensorFlow

Smart Expense Tracker

Features: Automatic categorization of expenses, budgeting tools, and monthly financial analysis.

Technologies: JavaScript, Node.js, React, MongoDB, AI for anomaly detection.

Market Gap: Many expense trackers lack predictive capabilities to warn users about overspending before it happens. Adding machine learning can improve financial health.

AI & Prompts: Use machine learning models to predict future expenses based on trends and categorize transactions using NLP. Implement anomaly detection to highlight unusual spending.

Resources: MongoDB, TensorFlow

Community Q&A Platform

Features: Voting system for questions/answers, tagging, and reputation-based rewards for active members.

Technologies: Node.js, Express.js, MongoDB, React, WebSockets for live updates.

Market Gap: Most Q&A platforms are limited in engaging users beyond the Q&A process. Adding gamification and reputation rewards can improve user engagement.

AI & Prompts: Implement machine learning to auto-tag questions based on content analysis. Add natural language processing for better question categorization.

Resources: MongoDB, React

AI Writing Assistant

Features: Grammar correction, style suggestions, and content rewriting options powered by GPT models.

Technologies: Python, GPT-3, OpenAI API, NLP, and TensorFlow.

Market Gap: While there are writing tools, few integrate advanced AI to improve content style, structure, and tone, providing a more tailored writing assistant experience.

AI & Prompts: Use GPT-3 for text generation and corrections. Implement reinforcement learning to adapt suggestions based on user feedback.

Resources: OpenAI GPT-3, TensorFlow