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Some of the projects I worked on
Some of the projects I worked on
"Chat with Multiple PDFs: A RAG-Based"
"Chat with Multiple PDFs: A RAG-Based"
This project implements a Retrieval-Augmented Generation (RAG) pipeline to enable users to interact with multiple PDF documents using natural language queries. Powered by Google’s Gemini model and built with LangChain, the system efficiently processes and retrieves relevant information from uploaded PDFs, enhancing response accuracy.
Skills: GenAI · Langchain · Python · Gemini
"Multimodal AI Assistant: Image & Text Analysis"
"Multimodal AI Assistant: Image & Text Analysis"
This project is a multimodal AI assistant that processes both images and text to provide insightful responses based on user queries. Built using LangChain and Google's Gemini model, the assistant allows users to upload images via Google Drive or direct URLs. It analyzes the visual and textual content of the images and responds intelligently based on user prompts.
Skills: GenAI · Langchain · Python · Gemini LLM
"Smart Text Summarization: Extract Key Insights from Text and PDFs"
"Smart Text Summarization: Extract Key Insights from Text and PDFs"
This project allows users to quickly summarize long text documents using AI. Users can either copy and paste text or upload a PDF for summarization. The system processes the content using two summarization techniques: Stuff (for short texts) and MapReduce (for long texts).
Skills: GenAI · Langchain · Python · Streamlit
"Conversational Chatbot with LangChain"
"Conversational Chatbot with LangChain"
This project is an intelligent conversational chatbot built using LangChain. It enables users to have natural, context-aware conversations with an AI assistant. The chatbot can understand queries, provide meaningful responses, and maintain the flow of conversation by remembering previous interactions.
Skills: GenAI · GroqCloud · Python · Streamlit
"AI-Powered Multilingual Translator "
"AI-Powered Multilingual Translator "
This project is a smart multilingual translator built using LangChain, Groq API, and Streamlit. It allows users to translate text between multiple languages with high accuracy and natural tone. The system can handle both formal and informal tones, making it useful for professional and casual conversations.
Skills: GenAI · GroqCloud · Python · Streamlit
"Celebrity Insight Hub Using Langchain"
"Celebrity Insight Hub Using Langchain"
Celebrity Insight Hub is an AI-powered application that provides comprehensive details about celebrities. Users can search for any celebrity to access their biography, career achievements, awards. With an intuitive interface, this application serves as a one-stop destination for celebrity enthusiasts, researchers, and fans.
Skills: Langchain · GroqCloud · Python · Streamlit · Prompt
"Real-Time Car Detection and Counting Using YOLO Computer Vision Model"
"Real-Time Car Detection and Counting Using YOLO Computer Vision Model"
It is a project that helps count the number of cars on roads using special cameras and smart technology. It's like having digital eyes watching the traffic. This system can quickly and accurately detect cars as they move on the road. It counts how many cars pass by in real-time. This helps traffic authorities understand how busy the roads are and plan better for traffic management. It's a smart way to keep track of traffic flow without needing people to manually count cars.
Skills: Computer Vision · OpenCV · Python (Programming Language)
"FaceEmoNet: Face and Emotion Detection System project "
"FaceEmoNet: Face and Emotion Detection System project "
FaceEmoNet is a cool project that can quickly spot faces and figure out how people are feeling. By using special tools called OpenCV and the resent50 model, we've made it super accurate. It's like having a smart camera that can understand emotions, helping with things like making apps that react to how you feel or analyzing people's moods in videos.
Skills: OpenCV · Computer Vision · Python (Programming Language) · Deep Learning · Convolutional Neural Networks (CNN)
"Pet Detector: Using Deep Learning to Differentiate Between Dogs and Cats "
"Pet Detector: Using Deep Learning to Differentiate Between Dogs and Cats "
Utilizing deep learning techniques, specifically Convolutional Neural Networks (CNNs), to construct a model capable of accurately classifying images as either dogs or cats. Training the model on a dataset of labeled images to enable robust recognition.
Skills demostrated: Python, Deep Learning, CNN, Streamlit
"Sentiment Analysis for Film Summaries"
"Sentiment Analysis for Film Summaries"
Analyzing sentiment in movie descriptions using NLP and ML techniques. Understand audience reactions and mood trends for better movie recommendations.
Skills demostrated: Python, Machine Learning, Natural Language Processing, Pandas, Streamlit
"Unlocking the Power of Words: Content-Based Movie Recommendations with Python"
"Unlocking the Power of Words: Content-Based Movie Recommendations with Python"
Suppose you have giant number of movies collection but you don't know what to watch next.This project builds a special helper that reads movie descriptions and figures out what kind of movie you like.
Skills demostrated: Nlp, Ml, Python, Pandas, Streamlit.
"Soil & Season-Based Crop Prediction"
"Soil & Season-Based Crop Prediction"
This project predicts optimal crop cultivation based on soil quality and seasonal parameters. By utilizing various parameters of soil quality and weather conditions, the project estimates the likelihood of selecting the best crops for agricultural production. It guides farmers in their fields towards optimal crop cultivation using technical and skilled knowledge.
Skills demostrated: Python, Machine Learning, Pandas
"Book Swap: Discover Your Next Read Together"
"Book Swap: Discover Your Next Read Together"
This Flask-based project utilizes collaborative filtering algorithms with Python's Pandas library to recommend books based on user preferences. Users input their reading interests, and the system processes this data to identify similar users and recommend books they might enjoy.
Skills demostrated: Python, Pandas, Flask
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