Helping Machine become more intelligent & creating intelligence | Developing | Writer | 23

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Maqbool Saiyed  • Peerlist

ChangiChirp is an AI-powered chatbot for Changi & Jewel Changi Airport info. Uses FastAPI, LangChain, Ollama, and FAISS for fast, accurate, and friendly answers—no cloud APIs needed. Open-source and privacy-friendly!

ChangiChirp

PawSense is an AI-powered web application designed to interpret dog emotions. Simply upload an image of a dog, and the tool analyzes it using a deep learning model (fine-tuned MobileNet ) to predict if the dog is Happy, Sad, Angry, or Relaxed. Built with a Flask backend and a React/Tailwind frontend, PawSense provides a user-friendly interface to gain insights into your canine companion's feelings, displaying confidence scores for each detected emotion. It's a fun way to connect more deeply with your furry friend

PawSense

​The "HH-DQN" project presents a hybrid approach to solving the Pickup and Delivery Problem (PDP) by integrating Deep Q-Learning with hyper-heuristics. The PDP is a complex combinatorial optimization challenge that focuses on planning efficient routes for vehicles to pick up and deliver goods while minimizing factors like cost, time, and distance, all within specific constraints. Traditional heuristic methods often struggle with adaptability across different problem scenarios. This project addresses these limitations by employing a Hyper-Heuristic based Deep Q-Learning framework, which dynamically selects from a set of low-level heuristics during route construction, aiming to enhance solution quality and adaptability.

Pick-up & Delivery Problem (PDP), A Newer App

An advanced, multi-modal AI system designed to offer empathetic mental health support through real-time text and voice interaction. Utilizes a fine-tuned BlenderBot-400 M-distill model with Low-Rank Adaptation (LoRA) for optimized conversational response. The system is built on a React + TypeScript frontend, powered by a Flask RESTful API backend, and integrates Azure Speech Services for speech-to-text and text-to-speech capabilities. Designed with a privacy-first architecture and optimized for low-latency, human-like dialogue delivery.