Bulbul Gupta 's Work | ContraWork by Bulbul Gupta
Bulbul Gupta

Bulbul Gupta

AI Chatbot Dev | Automate Support • Reduce Response Time

New to Contra

Bulbul is ready for their next project!

Cover image for AI Chatbot for Customer Support
AI Chatbot for Customer Support Automation This AI chatbot helps businesses automate customer queries and reduce response time by up to 60%. 🔹 Problem: Businesses often struggle with delayed responses, repetitive queries, and high support workload. 🔹 Solution: Developed an AI chatbot using NLP that can understand user intent and provide instant, accurate replies. 🔹 Key Features: • Handles common customer queries automatically • Basic intent recognition using NLP • Fast and real-time responses • Easy integration with web/mobile apps 🔹 Result: • Reduced response time • Improved customer experience • Lower support workload
0
49
This AI video demonstrates how businesses can automate customer support using AI chatbots. It highlights the problem of slow responses and shows how AI can handle queries instantly, improving efficiency and customer experience. Ideal for businesses looking to scale support operations.
1
142
This short AI video demonstrates how content creation transforms from a slow and stressful process to a faster, smarter workflow using AI tools. The video highlights a real-world scenario and showcases how AI can improve efficiency and productivity in content creation. Ideal for social media, marketing content, and brand storytelling. Created using modern video editing tools with a focus on clean transitions, engaging visuals, and clear messaging.
1
137
Created a short AI-based video showcasing how artificial intelligence is transforming the way we work and create. Worked on concept development, video editing, and storytelling. Also highlighted my experience in AI training and sentiment analysis. #AI #ArtificialIntelligence #VideoEditing #DataAnalysis #ContentCreation
1
137
Cover image for I worked on a Sentiment
I worked on a Sentiment Analysis project where I classified customer reviews into positive, negative, and neutral categories. I performed text preprocessing, used TF-IDF for feature extraction, and applied a machine learning model to improve accuracy. This project helped me gain hands-on experience in NLP, data labeling, and model evaluation.
2
3
302
Cover image for Built an AI-powered resume analyzer
Built an AI-powered resume analyzer that evaluates resumes and provides instant feedback to improve job success rates. The system analyzes resume content, structure, and keywords using AI to generate a score and actionable suggestions. It helps users optimize their resumes based on industry standards and ATS (Applicant Tracking System) requirements. This tool is designed for job seekers and professionals to enhance their resumes and increase their chances of getting shortlisted. "Open to building similar AI-powered tools for businesses". 🚀
4
211
Cover image for Built an AI-powered customer support
Built an AI-powered customer support chatbot that can handle user queries instantly and automate business communication. The chatbot understands user intent and provides accurate, context-aware responses using advanced AI models. It is designed to reduce manual effort, improve response time, and enhance customer experience. This solution can be integrated into websites or apps to provide 24/7 automated support, helping businesses save time and increase efficiency. "Open to building custom AI solutions for businesses"🚀 .
1
4
201
Cover image for 📊 I built an AI-powered
📊 I built an AI-powered data dashboard Now data is easy to understand and analyze. No more manual work ❌ Just filter → Get insights instantly ⚡ 🔥 Features: • Interactive charts • Smart filters • Real-time insights ⚙️ Tech: Python, Flask, PostgreSQL, Chart.js 💡 Perfect for: Businesses, analysts, startups 💬 Want a dashboard like this? DM me 🚀
3
164
Cover image for Built an AI-powered data visualization
Built an AI-powered data visualization dashboard that helps users analyze and understand data easily through interactive charts and filters. The system fetches data from a database and displays it in real-time using dynamic charts and tables. Users can apply filters to explore specific insights and make better decisions. 💡 This solution is useful for businesses, analysts, and teams to track performance, monitor trends, and simplify complex data. 🔥 Key Highlights: • Interactive charts (bar, pie) • Dynamic data filtering • Real-time data updates ⚙️ Built using Python, Flask, PostgreSQL, and Chart.js. DM me
1
2
145
Cover image for Built a real-time object detection
Built a real-time object detection system using computer vision that can identify and track multiple objects in images and video streams. The system uses deep learning models to detect objects and draw bounding boxes with high accuracy. It processes frames in real-time and provides instant visual insights. 💡 This solution can be used in security systems, surveillance, traffic monitoring, and smart automation. 🔥 Key Highlights: • Real-time object detection • Bounding box visualization • Fast and accurate predictions ⚙️ Built using Python, OpenCV, and TensorFlow. DM me
0
60
Cover image for Built an AI-powered chatbot that
Built an AI-powered chatbot that enables businesses to search and retrieve information from documents instantly using Retrieval-Augmented Generation (RAG). The system processes uploaded documents, converts them into embeddings, and stores them in a vector database for fast and accurate retrieval. When a user asks a question, the chatbot fetches relevant context and generates intelligent, human-like responses. 💡 This solution helps businesses automate document search, reduce manual effort, and improve productivity. 🔥 Key Highlights: • Real-time document querying • Context-aware AI responses • Fast and scalable architecture ⚙️ Built using Python, FastAPI, OpenAI, LangChain, and FAISS.
0
77
Cover image for I built an AI chatbot
I built an AI chatbot that can answer questions from PDFs in seconds 🤯 No manual search. Just ask and get instant answers.🤔🤔Companies struggle to search information across documents manually. It wastes time and reduces productivity.👍So I built a RAG-based AI chatbot that understands documents and gives accurate answers instantly. Tach stack :- Python, FastAPI, LangChain, OpenAI API, Vector Database (FAISS) Ask questions from PDFs Context-aware answers Fast semantic search Easy UI chatbot Scalable backend
1
116
Cover image for This type of system can
This type of system can help teams search internal documents much faster. Currently experimenting with different approaches to improve answer accuracy. Curious to hear how others are building similar systems.
1
2
120
Cover image for I recently built a chatbot
I recently built a chatbot that can answer user questions using natural language processing. Features: • User question → AI response • Fast and lightweight chatbot • Built with Python and NLP tools Next step: I'm exploring how to connect this with company knowledge bases and automation workflows.
1
71