AI Agents
Project Title : Legal Compliance Agent
Problem Statement : An agent that automates compliance checks for businesses (e.g., GDPR, tax laws) across jurisdictions.
Approach :Monitors regulatory changes in real time via news APIs. Flags non-compliant practices (e.g., data storage violations). Generates reports and mitigation steps (e.g., "Update privacy policies by X date
Tools :NewsAPI, Spacy for NLP, Docker for scalable deployment.
Project Title : Multi-Agent Traffic Optimization
Project Statement: Optimize traffic flow using a network of AI agents that dynamically adjust traffic signals.
Approach: Implement multi-agent reinforcement learning to reduce congestion.
Tools & Technology: Python, SUMO, TensorFlow, PyTorch.
Project Title : AI-Driven Personalized News Curator
Project Statement: Build an agent that curates news based on user preferences and reading habits.
Approach: Use NLP for content analysis and collaborative filtering for personalization.
Tools & Technology: Python, NLTK, Scikit-learn, Flask, Elasticsearch.
Project Title : GeoJobSearch Agent
Problem Statement : Matches job seekers with roles using location and skill data.
Approach : Uses LangChain's Agents to parse resumes and job descriptions.Integrates with Google Maps API for location-based recommendations.
Tools : LangChain, Google Maps API, Scrapy.
Project Title : AI-Powered Research Assistant
Project Statement : Build an agent that can assist researchers by generating hypotheses, processing data, and creating visualizations.
Approach : Use LangChain to manage research workflows and integrate with tools for data analysis and visualization.
Tools & Technology : Python, LangChain, OpenAI API, Pandas, Matplotlib.
LLM Tuning
Project Title : Conversational Chatbot
Project Statement: Build a chatbot that can engage in natural conversations using LangChain and OpenAI.
Approach: Use LangChain to handle conversational flow and OpenAI's GPT models for response generation.
Tools & Technology: Python, LangChain, OpenAI API, Streamlit.
Project Title : PDF-Chat App
Project Statement: Create an application that allows users to interact with PDF documents using natural language.
Approach: Use LangChain and OpenAI to process PDF content and generate relevant answers.
Tools & Technology: Python, LangChain, OpenAI API, ChromaDB.
Project Title : Customer-Support Chatbot
Project Statement: Develop an AI-powered chatbot for customer support that can handle complex queries.
Approach: Integrate multiple LLM agents for different tasks like ticketing, audio transcription, and summarization.
Tools & Technology: Python, LangChain, OpenAI API, Flask.
Project Title : Vacation Planning Assistant
Project Statement: Build an AI assistant that helps users plan trips by providing personalized recommendations.
Approach: Use Llama2 and AWS SageMaker for deployment and scaling.
Tools & Technology: Python, Llama2, AWS SageMaker, Deep Learning Containers.
Project Title : AI-Powered Content Generator
Project Statement: Create a system that generates blog posts, articles, or social media content using LLMs.
Approach: Fine-tune a pre-trained LLM on specific content domains.
Tools & Technology: Python, OpenAI API, Hugging Face Transformers, web frameworks