Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning (Ai / ML)

Build cutting-edge AI/ML solutions to crush real-world challenges in all sorts of domains

Smart Health Diagnosis System

Problem: Develop an AI-based system that analyzes patient symptoms and medical history to provide preliminary diagnosis and recommend treatments.
Focus Areas: NLP, Classification, Medical Datasets, Explainable AI

Fake News Detection

Problem: Build a machine learning model to detect and classify fake news articles from real ones using text analysis and fact-checking algorithms.

Focus Areas: NLP, Text Classification, Deep Learning, Ethics in AI

AI-based Career Counselor

Problem: Design a recommendation engine that suggests career paths to students based on their interests, academic performance, and personality traits.
Focus Areas: Recommendation Systems, Clustering, Decision Trees, Psychology + AI

Crop Disease Prediction Using Images

Problem: Create a model that detects plant/crop diseases from leaf images and suggests remedies to farmers.
Focus Areas: CNNs, Image Classification, Transfer Learning, Agriculture AI

AI for Road Traffic Management

Problem: Develop an AI system to analyze live traffic data and optimize signal timings to reduce congestion.
Focus Areas: Reinforcement Learning, Real-time Data, IoT Integration

Energy Consumption Prediction for Smart Grids

Problem: Predict energy usage patterns in smart homes or buildings and suggest ways to reduce energy consumption.
Focus Areas: Time-Series Forecasting, Regression, Smart Cities, Sustainability

AI-Powered Resume Screening System

Problem: Create a resume screening tool that ranks candidates based on job descriptions and historical hiring data.
Focus Areas: NLP, Ranking Algorithms, Fairness in AI

Real-time Emotion Detection from Video

Problem: Build a system that detects human emotions using facial expressions in real-time video streams.
Focus Areas: Computer Vision, Emotion Recognition, HCI, Deep Learning

Personalized Learning System

Problem: Build an adaptive learning platform that adjusts content difficulty based on student responses and performance.
Focus Areas: Computer Vision, Emotion Recognition, HCI, Deep Learning

AI for Predictive Maintenance in Manufacturing

Problem: Predict machinery failures before they occur using sensor data from equipment in an industrial setup.
Focus Areas: Anomaly Detection, Time-Series Analysis, Industry 4.0