AI-powered full-stack study planner built with React & Flask. Generates personalized study plans, tracks progress with analytics, and helps students stay consistent.
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Updated
Jul 23, 2026 - JavaScript
AI-powered full-stack study planner built with React & Flask. Generates personalized study plans, tracks progress with analytics, and helps students stay consistent.
This is a simple type of chatbot that relies on predefined rules.
A beginner-friendly offline CLI AI assistant built with Python and Rich. Features smart name memory, basic intent handling, and a modular structure ready for future API integration.
A rule-based Tic-Tac-Toe AI game built in Python.
AI Fairness and Quality Evaluation System (Rule-based ML Prototype)
🚀 DecodeLabs AI Engineering Internship | Batch 2026 — Hands-on AI projects spanning Rule-Based Systems, Data Classification, and Recommendation Engines. Built with Python, Scikit-learn & Jupyter.
If OpenAI builds engines, VOID builds the chassis.
An interactive AI chatbot built with HTML, CSS, and JavaScript featuring a futuristic UI, particle animations, predefined knowledge base, image-based engineering explanations, and intelligent rule-based responses.
Rule-Based AI Chatbot built with Python as part of the DecodeLabs AI Internship.
AI-powered Message Notification Router that intelligently classifies WhatsApp messages into notify, digest, or mute using a modular multi-agent architecture.
Smart File Agent is a tiny, self‑contained demonstration of an agentic AI pipeline — built entirely in Python
Rusk-Bot is a command-line, rule-based AI that was originally built using QBasic (QB64) and is now being developed in Python 3.13.3. It can do a variety of things, including casual conversations, arithmetic problems, and can even handle Morse code. Frequent Rusk-Bot updates are planned.
AI Smart Bug Analyzer using Flask, Python and Multi-Agent Architecture
A simple AI recommendation system built with Python that suggests courses based on user interests using rule-based logic.
A modular Rule-Based AI Chatbot built with Python using decision-making logic and control flow as part of the DecodeLabs AI Internship.
This project implements an intelligent used car recommendation system that combines five knowledge representation techniques to provide comprehensive vehicle recommendations based on reliability, safety, and total cost of ownership.
AI-powered placement evaluation system that assesses candidate readiness, recommends suitable roles, and generates personalized 7-day preparation plans using rule-based agents and a modern REST API.
Python chatbot that predicts personality traits based on user responses using a rule-based scoring system.
Rule-based AI chatbot with a custom Streamlit UI - DecodeLabs AI Internship Project 1
A rule-based financial analysis chatbot built with Python, Pandas, and Gradio for generating financial reports, comparisons, rankings, and insights.
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