Artificial Intelligence Generalist

These projects focus on generation of content—text, images, or other media—using advanced models like LLMs or GANs.

1.1. Product Review Summary and Sentiment Image Generator

• What You’ll Build: Summarizes user reviews and generates an emoji-style image reflecting the overall sentiment (happy, neutral, sad).

• Skills Gained: Sentiment analysis, visual storytelling, user-feedback representation

1.2. Personalized Resume & Cover Letter Generator

• What You’ll Build: A web app that generates job-specific resumes and cover letters using user inputs and a fine-tuned LLM.

• Skills Gained: Few-shot learning, fine-tuning, text generation, data preprocessing.

1.3. Marketing Copy Generator with Style Selector

• What You’ll Build: A tool that generates ad copy, social media captions, or product descriptions in a selected tone (e.g., witty, formal, persuasive).

• Tech Stack: GPT + Streamlit or Flask

• Skills Gained: Style-conditioned generation, prompt chaining, content A/B testing

1.4. Fine-Tuned LLM for Domain-Specific Content Creation

• What You’ll Build: Train or fine-tune a small LLM (e.g., Mistral, LLaMA) to generate marketing content, legal contracts, or technical documentation.

• Skills Gained: LoRA/PEFT fine-tuning, dataset preparation, prompt templating

These projects explore LLM-based agents that reason, plan, and take actions using tools and memory.

2.1. Autonomous Research Assistant (LangChain + Web Search)

• What You’ll Build: An agent that takes a research question and autonomously searches the web, reads documents, and summarizes findings.

• Skills Gained: LangChain agents, tool calling, web scraping, long context summarization.

2.2. Multi-Agent Task Delegation System

• What You’ll Build: A system where multiple AI agents collaborate to plan and execute tasks (e.g., plan a trip, write blog posts, analyze competitors).

• Skills Gained: Multi-agent coordination, task planning, async operations, memory handling.

2.3. AI Coding Assistant with Memory

• What You’ll Build: An agent that can understand and edit code, answer developer queries, and maintain long-term memory of the project.

• Skills Gained: Code understanding, vector databases, RAG, context management.

2.4. Customer Support Agent Simulator

• What You’ll Build: An AI agent that mimics a human support representative using custom tools, documents, and conversation memory.

• Skills Gained: Retrieval-augmented generation (RAG), LangChain tools, human-in-the-loop design.

These projects involve neural networks, CNNs, RNNs, and transformers—core to understanding modern AI.

3.1. Image Captioning with CNN + LSTM

• What You’ll Build: A model that generates textual descriptions of images.

• Skills Gained: Transfer learning, encoder-decoder architectures, multimodal learning.

3.2. Human Activity Recognition with Wearable Sensor Data

• What You’ll Build: A classifier that detects human activity (walking, running, sitting) using time-series sensor data.

• Skills Gained: RNNs, LSTMs, time-series modeling, data augmentation.

3.3. Chest X-Ray Disease Detection

• What You’ll Build: A deep learning classifier to detect pneumonia or other diseases from chest X-ray images.

• Skills Gained: Medical imaging, CNNs, Grad-CAM for interpretability.

3.4. Style Transfer Web App

• What You’ll Build: A fun app that applies the artistic style of one image to another using neural style transfer.

• Skills Gained: Computer vision, pre-trained networks, creative AI applications.

These NLP projects build critical language understanding skills with real-world applications.

4.1. Legal Document Summarizer with RAG

• What You’ll Build: An NLP tool that summarizes long legal texts using Retrieval-Augmented Generation.

• Skills Gained: NLP pipelines, vector search, chunking strategies, summarization.

4.2. News Article Topic Classifier

• What You’ll Build: A model to classify news articles into categories like Politics, Sports, Business, etc.

• Skills Gained: Text classification, TF-IDF vs embeddings, model evaluation.

4.3. Multi-Language Chat Translation Bot

• What You’ll Build: A real-time chat translator using a combination of APIs and transformer models.

• Skills Gained: Tokenization, multilingual NLP, streaming text processing.

4.4. Question Answering System for Custom Documents

• What You’ll Build: An app that answers user queries based on uploaded PDFs or knowledge base.

• Skills Gained: Embedding generation, context retrieval, semantic search, LangChain/RAG.