Abhilasha Jain
Generative AI
Flowchart Generator
Designed an internal tool leveraging LLaMA 2 to convert natural language inputs into flowcharts, streamlining the process of generating technical diagrams for workflows and systems.
Improved internal team productivity by automating flowchart creation, reducing manual effort and ensuring consistency across technical documentation.
CO-DEbugger
Your own Code Savior!
CodeLlama Debug34 is an internal tool designed to streamline the code debugging process, helping developers identify and resolve issues more efficiently.
Leveraging large language model like Llama2 and a user-friendly interface, this tool empowers teams to deliver high-quality code with fewer errors and faster turnaround times.
Identified trends, provided actionable recommendations, and demonstrated the effectiveness of CodeLlama Debug34 in streamlining debugging processes, improving code quality, and enhancing overall development efficiency.
RAG - Based Movie Recommendation System Using SingleStore and GPT-3.5
Can't decide what to watch next? Using this Recommendation System, now you can focus on deciding what to eat while watching your next favorite thing.
Developed a Retrieval-Augmented Generation (RAG) model to recommend movies by integrating the SingleStore database with GPT-3.5 from OpenAI API.
Enhanced recommendation accuracy by combining real-time database querying with generative AI,
delivering personalized movie suggestions based on user preferences and historical data.
IVR System Enhancement using LLMs
No need to wait in long line to resolve your issues
Integrated large language models (LLMs) into an existing Interactive Voice Response (IVR) system, improving natural language understanding and response accuracy by 35%.
Enhanced customer experience by enabling more intuitive and efficient interactions, reducing call handling time and increasing user satisfaction.
Resume Vector Search
Medical Appointment Analysis
No Longer Waiting for Hours on your next Appointment
Implemented a GPT-3.5 agent to perform time series analysis on medical appointment data, predicting patient no-shows and optimizing scheduling efficiency.
Leveraged advanced language models to extract patterns from historical appointment data, enabling proactive decision-making and reducing appointment gaps by 15%.
MathMentor: RAG-Based Problem Solver
Food Delivery App Data Analysis
Soft drink
Soda, Sprite, Pepsi & Diet Coke
Invoice Parser
Using LiLT
Play Store Reviews Analysis
Exploratory Data Analysis using Large Language Models
Leveraged advanced NLP to analyze Google Play Store reviews, driving data-driven app improvements and enhancing user satisfaction.
Identified trends, provided actionable recommendations, and demonstrated LLM effectiveness for data-driven app development and improved user experience.
Price Negotiation Chatbot using LiLT Model
Love bargaining at local store? Now, negotiate the best price in an online platform!
Developed an AI-powered chatbot for automated price negotiation, leveraging natural language processing and reinforcement learning to simulate human-like bargaining strategies.
Implemented dynamic pricing models that adapt to customer responses, resulting in a 25% increase in successful negotiations and improved customer engagement.
Customer Reviews Sentiment Analysis
How does your customer feel about you?
Developed a sentiment analysis model to categorize customer reviews as positive, negative, or neutral, enhancing customer feedback management.
Implemented NLP techniques to analyze large volumes of text data, providing actionable insights that improved customer satisfaction strategies by 20%.