An AI-powered Personal Finance Manager featuring a "Master Brain" (LSTM Neural Network) to forecast future spending trends. Built with Python, TensorFlow, and CustomTkinter.
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Feb 9, 2026 - Python
An AI-powered Personal Finance Manager featuring a "Master Brain" (LSTM Neural Network) to forecast future spending trends. Built with Python, TensorFlow, and CustomTkinter.
Accurate ML-powered web app that recommends the best crops based on soil parameters. Fill the form, click recommend, get instant crop suggestions!
The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
An AI‑powered weather forecasting system that uses machine learning models to predict temperature, humidity, and climate patterns based on historical weather data.
Top 10 Machine learning (ML) continues to evolve rapidly, offering transformative solutions across a wide range of industries. By 2025, ML projects will be more sophisticated, leveraging advanced techniques, larger datasets, and better computational power Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Automated-Software-Requirement-Elicitation-using-NLP is a college-level software engineering project that uses Natural Language Processing to automatically gather and analyze software requirements. This project reduces manual effort, improves requirement accuracy, and supports better documentation for software development. It is ideal for students
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Diverse Language Translation System leverages AI and NLP to translate text across multiple languages, enabling seamless communication and improving accessibility in multilingual environments.
This repository provides examples for using the FreeGPT module, a lightweight Python library for integrating GPT (Generative Pre-trained Transformer) capabilities into various applications. These examples demonstrate how to leverage FreeGPT for a range of tasks.
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Agentic AI Drive Project leverages autonomous AI agents to manage digital files, automate workflows, and improve productivity through intelligent data organization and decision-making.
A complete GenAI portfolio showcasing practical projects in data annotation, text classification, and RLHF response ranking — built by an engineering student exploring Generative AI and Machine Learning.
Attention-guided convolutional autoencoder for one-class anomaly detection and localization on CIFAR-10, using CBAM and reconstruction-based scoring.
Software-Effort-Estimation-using-Machine-Learning is a project that uses ML algorithms to estimate development effort for software projects, helping improve planning and cost prediction. It includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials.
YouTube AI Notes Converter is an intelligent tool that automatically extracts transcripts from YouTube videos and converts them into clean, structured notes using Generative AI. It simplifies learning by summarizing long videos into digestible written content – perfect for students, researchers, and lifelong learners.
House Price Prediction App built with React, Django, and Scikit-Learn. Real-time ML predictions with confidence scoring and modern UI.
A curated list of AI projects designed for creative purpose
Built a fake news classification system using NLP and ML on a Kaggle dataset of 40,000+ articles. Preprocessed text, applied TF-IDF, and trained Naive Bayes, Logistic Regression, and Linear SVM. Achieved 99.3% accuracy with Linear SVM. Includes evaluation and visualizations.
ML Project which predictsA personalized Car Recommendation System that uses machine learning to suggest the best vehicles based on user preferences like budget, features, and brand. It helps users make informed decisions by providing tailored car options with real-time data and filtering capabilities.
A well-structured learning repository demonstrating hands-on experience with React.js and Next.js, focused on modern patterns, real-world projects, and continuous improvement. ### 🤖 AI Learning Focus This repository also includes practical learning around **AI integration**, where I experiment with AI APIs to build intelligent features such as AI
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